The Programme Committee of TQC 2024 selected 92 out of 460 submissions for a contributed talk (20% acceptance rate).
You may find the contributed talks here.
The list of accepted posters will be published on the 2nd of May, after the poster notification date. The conference schedule will be published in July.
Note on the list: The talks are listed in alphabetical order of title. Later they will be listed by day of presentation. The topic tags were self-selected by the authors upon submission, given the options provided by the PC chairs.
1.
Jonathan Allcock, Jinge Bao, João F. Doriguello, Alessandro Luongo, Miklos Santha
Constant-depth circuits for Uniformly Controlled Gates and Boolean functions with application to quantum memory circuits Talk
2024.
Abstract | Tags: Intersection of quantum information and machine learning, Models of quantum computation
@Talk{T24_8,
title = {Constant-depth circuits for Uniformly Controlled Gates and Boolean functions with application to quantum memory circuits},
author = {Jonathan Allcock and Jinge Bao and João F. Doriguello and Alessandro Luongo and Miklos Santha},
year = {2024},
date = {2024-01-01},
abstract = {We explore the power of the unbounded Fan-Out gate and the Global Tunable gates generated by Ising-type Hamiltonians in constructing constant-depth quantum circuits, with particular attention to quantum memory devices. We propose two types of constant-depth constructions for implementing Uniformly Controlled Gates. These gates include the Fan-In gates defined by $|xrangle|branglemapsto |xrangle|bøplus f(x)rangle$ for $xın0,1^n$ and $bın0,1$, where $f$ is a Boolean function. The first of our constructions is based on computing the one-hot encoding of the control register $|xrangle$, while the second is based on Boolean analysis and exploits different representations of $f$ such as its Fourier expansion. Via these constructions, we obtain constant-depth circuits for the quantum counterparts of read-only and read-write memory devices — Quantum Random Access Memory ($QRAM$) and Quantum Random Access Gate ($QRAG$) — of memory size $n$. The implementation based on one-hot encoding requires either $O(nłognłogłogn)$ ancillae and $O(nłogn)$ Fan-Out gates or $O(nłogn)$ ancillae and $6$ Global Tunable gates. On the other hand, the implementation based on Boolean analysis requires only $2$ Global Tunable gates at the expense of $O(n^2)$ ancillae.},
keywords = {Intersection of quantum information and machine learning, Models of quantum computation},
pubstate = {published},
tppubtype = {Talk}
}
We explore the power of the unbounded Fan-Out gate and the Global Tunable gates generated by Ising-type Hamiltonians in constructing constant-depth quantum circuits, with particular attention to quantum memory devices. We propose two types of constant-depth constructions for implementing Uniformly Controlled Gates. These gates include the Fan-In gates defined by $|xrangle|branglemapsto |xrangle|bøplus f(x)rangle$ for $xın0,1^n$ and $bın0,1$, where $f$ is a Boolean function. The first of our constructions is based on computing the one-hot encoding of the control register $|xrangle$, while the second is based on Boolean analysis and exploits different representations of $f$ such as its Fourier expansion. Via these constructions, we obtain constant-depth circuits for the quantum counterparts of read-only and read-write memory devices — Quantum Random Access Memory ($QRAM$) and Quantum Random Access Gate ($QRAG$) — of memory size $n$. The implementation based on one-hot encoding requires either $O(nłognłogłogn)$ ancillae and $O(nłogn)$ Fan-Out gates or $O(nłogn)$ ancillae and $6$ Global Tunable gates. On the other hand, the implementation based on Boolean analysis requires only $2$ Global Tunable gates at the expense of $O(n^2)$ ancillae.
2.
Joseph Cunningham, Jérémie Roland
Eigenpath traversal by Poisson-distributed phase randomisation Talk
2024.
Abstract | Tags: Models of quantum computation, Proceedings, Quantum algorithms
@Talk{T24_194,
title = {Eigenpath traversal by Poisson-distributed phase randomisation},
author = {Joseph Cunningham and Jérémie Roland},
year = {2024},
date = {2024-01-01},
abstract = {We present a framework for quantum computation, similar to Adiabatic Quantum Computation (AQC), that is based on the quantum Zeno effect. By performing randomised dephasing operations at intervals determined by a Poisson process, we are able to track the eigenspace associated to a particular eigenvalue. We derive a simple differential equation for the fidelity leading to general theorems bounding the time complexity of a whole class of algorithms. We also use eigenstate filtering to optimise the scaling of the complexity in the error tolerance ε. In many cases the bounds given by our general theorems are optimal, giving a time complexity of O(1/Δ) with Δ the minimum of the gap. This allows us to prove optimal results using very general features of problems, minimising the amount of problem-specific insight necessary. As two applications of our framework we obtain optimal scaling for the Grover problem (i.e. O(N^1/2) where N is the database size) and the Quantum Linear System Problem (i.e. O(κłog(1/ε)) where κ is the condition number and ε the error tolerance) by direct applications of our theorems.},
keywords = {Models of quantum computation, Proceedings, Quantum algorithms},
pubstate = {published},
tppubtype = {Talk}
}
We present a framework for quantum computation, similar to Adiabatic Quantum Computation (AQC), that is based on the quantum Zeno effect. By performing randomised dephasing operations at intervals determined by a Poisson process, we are able to track the eigenspace associated to a particular eigenvalue. We derive a simple differential equation for the fidelity leading to general theorems bounding the time complexity of a whole class of algorithms. We also use eigenstate filtering to optimise the scaling of the complexity in the error tolerance ε. In many cases the bounds given by our general theorems are optimal, giving a time complexity of O(1/Δ) with Δ the minimum of the gap. This allows us to prove optimal results using very general features of problems, minimising the amount of problem-specific insight necessary. As two applications of our framework we obtain optimal scaling for the Grover problem (i.e. O(N^1/2) where N is the database size) and the Quantum Linear System Problem (i.e. O(κłog(1/ε)) where κ is the condition number and ε the error tolerance) by direct applications of our theorems.
3.
Shivan Mittal, Nicholas Hunter-Jones
Local random quantum circuits form approximate designs on arbitrary architectures Talk
2024.
Abstract | Tags: Intersection of quantum information and condensed-matter theory, Models of quantum computation, Quantum information theory
@Talk{T24_309,
title = {Local random quantum circuits form approximate designs on arbitrary architectures},
author = {Shivan Mittal and Nicholas Hunter-Jones},
year = {2024},
date = {2024-01-01},
abstract = {We consider random quantum circuits (RQC) on arbitrary connected graphs whose edges determine the allowed 2-qudit interactions. Prior work has established that such $n$-qudit circuits with local dimension $q$ on 1D, complete, and $D$-dimensional graphs form approximate unitary designs, that is, they generate unitaries from distributions close to the Haar measure on the unitary group $U(q^n)$ after polynomially many gates. Here, we extend those results by proving that RQCs comprised of $O(poly(n,k))$ gates on a wide class of graphs form approximate unitary $k$-designs. We prove that RQCs on graphs with spanning trees of bounded degree and height form $k$-designs after $O(|E|n rm poly(k))$ gates, where $|E|$ is the number of edges in the graph. Furthermore, we identify larger classes of graphs for which RQCs generate approximate designs in polynomial circuit size. For $k łeq 4$, we show that RQCs on graphs of certain maximum degrees form designs after $O(|E|n)$ gates, providing explicit constants. We determine our circuit size bounds from the spectral gaps of local Hamiltonians. To that end, we extend the finite-size (or Knabe) method for bounding gaps of frustration-free Hamiltonians on regular graphs to arbitrary connected graphs. We further introduce a new method based on the Detectability Lemma for determining the spectral gaps of Hamiltonians on arbitrary graphs. Our methods have wider applicability as the first method provides a succinct alternative proof of [Commun. Math. Phys. 291, 257 (2009)] and the second method proves that RQCs on any connected architecture form approximate designs in quasi-polynomial circuit size.},
keywords = {Intersection of quantum information and condensed-matter theory, Models of quantum computation, Quantum information theory},
pubstate = {published},
tppubtype = {Talk}
}
We consider random quantum circuits (RQC) on arbitrary connected graphs whose edges determine the allowed 2-qudit interactions. Prior work has established that such $n$-qudit circuits with local dimension $q$ on 1D, complete, and $D$-dimensional graphs form approximate unitary designs, that is, they generate unitaries from distributions close to the Haar measure on the unitary group $U(q^n)$ after polynomially many gates. Here, we extend those results by proving that RQCs comprised of $O(poly(n,k))$ gates on a wide class of graphs form approximate unitary $k$-designs. We prove that RQCs on graphs with spanning trees of bounded degree and height form $k$-designs after $O(|E|n rm poly(k))$ gates, where $|E|$ is the number of edges in the graph. Furthermore, we identify larger classes of graphs for which RQCs generate approximate designs in polynomial circuit size. For $k łeq 4$, we show that RQCs on graphs of certain maximum degrees form designs after $O(|E|n)$ gates, providing explicit constants. We determine our circuit size bounds from the spectral gaps of local Hamiltonians. To that end, we extend the finite-size (or Knabe) method for bounding gaps of frustration-free Hamiltonians on regular graphs to arbitrary connected graphs. We further introduce a new method based on the Detectability Lemma for determining the spectral gaps of Hamiltonians on arbitrary graphs. Our methods have wider applicability as the first method provides a succinct alternative proof of [Commun. Math. Phys. 291, 257 (2009)] and the second method proves that RQCs on any connected architecture form approximate designs in quasi-polynomial circuit size.
4.
Daniel Stilck França, Cambyse Rouze, Álvaro Alhambra
Making both ends meet: from efficient simulation to universal quantum computing with quantum Gibbs sampling Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum algorithms, Quantum information theory, Simulation of quantum systems
@Talk{T24_359,
title = {Making both ends meet: from efficient simulation to universal quantum computing with quantum Gibbs sampling},
author = {Daniel Stilck França and Cambyse Rouze and Álvaro Alhambra},
year = {2024},
date = {2024-01-01},
abstract = {The preparation of thermal states of matter is a crucial task in quantum simulation. In this work, we prove that an efficiently implementable dissipative evolution recently introduced by Chen et al. thermalizes into its equilibrium Gibbs state in time scaling polynomially with system size at high enough temperatures for any Hamiltonian that satisfies a Lieb-Robinson bound, such as local Hamiltonians on a lattice. Furthermore, we show the efficient adiabatic preparation of the associated purifications or ``thermofield double" states. To the best of our knowledge, these are the first results rigorously establishing the efficient preparation of high temperature Gibbs states and their purifications. In the low-temperature regime, we show that implementing this family of Lindbladians for inverse temperatures logarithmic in the system's size is polynomially equivalent to standard quantum computation. On a technical level, for high temperatures, our proof makes use of the mapping of the generator of the evolution into a Hamiltonian and the analysis of the stability of its gap. For low temperature, we instead perform a perturbation at zero temperature of the Laplace transform of the energy observable at fixed runtime, and resort to circuit-to-Hamiltonian mappings akin to the proof of universality of quantum adiabatic computing. Taken together, our results show that the family of Lindbladians of Chen et al. efficiently prepares a large class of quantum many-body states of interest, and have the potential to mirror the success of classical Monte Carlo methods for quantum many-body systems.},
keywords = {Models of quantum computation, Quantum algorithms, Quantum information theory, Simulation of quantum systems},
pubstate = {published},
tppubtype = {Talk}
}
The preparation of thermal states of matter is a crucial task in quantum simulation. In this work, we prove that an efficiently implementable dissipative evolution recently introduced by Chen et al. thermalizes into its equilibrium Gibbs state in time scaling polynomially with system size at high enough temperatures for any Hamiltonian that satisfies a Lieb-Robinson bound, such as local Hamiltonians on a lattice. Furthermore, we show the efficient adiabatic preparation of the associated purifications or ``thermofield double" states. To the best of our knowledge, these are the first results rigorously establishing the efficient preparation of high temperature Gibbs states and their purifications. In the low-temperature regime, we show that implementing this family of Lindbladians for inverse temperatures logarithmic in the system's size is polynomially equivalent to standard quantum computation. On a technical level, for high temperatures, our proof makes use of the mapping of the generator of the evolution into a Hamiltonian and the analysis of the stability of its gap. For low temperature, we instead perform a perturbation at zero temperature of the Laplace transform of the energy observable at fixed runtime, and resort to circuit-to-Hamiltonian mappings akin to the proof of universality of quantum adiabatic computing. Taken together, our results show that the family of Lindbladians of Chen et al. efficiently prepares a large class of quantum many-body states of interest, and have the potential to mirror the success of classical Monte Carlo methods for quantum many-body systems.
5.
Xavier Coiteux-Roy, Francesco D'Amore, Rishikesh Gajjala, Fabian Kuhn, Francois Le Gall, Henrik Lievonen, Augusto Modanese, Marc-Olivier Renou, Gustav Schmid, Jukka Suomela
No distributed quantum advantage for approximate graph coloring Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum algorithms
@Talk{T24_60,
title = {No distributed quantum advantage for approximate graph coloring},
author = {Xavier Coiteux-Roy and Francesco D'Amore and Rishikesh Gajjala and Fabian Kuhn and Francois Le Gall and Henrik Lievonen and Augusto Modanese and Marc-Olivier Renou and Gustav Schmid and Jukka Suomela},
year = {2024},
date = {2024-01-01},
abstract = {We give an almost complete characterization of the hardness of $c$-coloring χ-chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. In particular, we show that these problems do not admit any distributed quantum advantage. To do that: beginenumerate ıtem We give a new distributed algorithm that finds a $c$-coloring in χ-chromatic graphs in $tildemathcalO(n^frac1alpha)$ rounds, with $alpha = biglłfloorfracc-1chi - 1bigrrfloor$. ıtem We prove that any distributed algorithm for this problem requires $Ømega(n^frac1alpha)$ rounds. endenumerate Our upper bound holds in the classical, deterministic $mathsfLOCAL$ model, while the near-matching lower bound holds in the emphnon-signaling model. This model, introduced by Arfaoui and Fraigniaud in 2014, captures all models of distributed graph algorithms that obey physical causality; this includes not only classical deterministic $mathsfLOCAL$ and randomized $mathsfLOCAL$ but also $mathsfquantum$-$mathsfLOCAL$, even with a pre-shared quantum state. We also show that similar arguments can be used to prove that, e.g., 3-coloring 2-dimensional grids or $c$-coloring trees remain hard problems even for the non-signaling model, and in particular do not admit any quantum advantage. Our lower-bound arguments are purely graph-theoretic at heart; no background on quantum information theory is needed to establish the proofs.},
keywords = {Models of quantum computation, Quantum algorithms},
pubstate = {published},
tppubtype = {Talk}
}
We give an almost complete characterization of the hardness of $c$-coloring χ-chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. In particular, we show that these problems do not admit any distributed quantum advantage. To do that: beginenumerate ıtem We give a new distributed algorithm that finds a $c$-coloring in χ-chromatic graphs in $tildemathcalO(n^frac1alpha)$ rounds, with $alpha = biglłfloorfracc-1chi - 1bigrrfloor$. ıtem We prove that any distributed algorithm for this problem requires $Ømega(n^frac1alpha)$ rounds. endenumerate Our upper bound holds in the classical, deterministic $mathsfLOCAL$ model, while the near-matching lower bound holds in the emphnon-signaling model. This model, introduced by Arfaoui and Fraigniaud in 2014, captures all models of distributed graph algorithms that obey physical causality; this includes not only classical deterministic $mathsfLOCAL$ and randomized $mathsfLOCAL$ but also $mathsfquantum$-$mathsfLOCAL$, even with a pre-shared quantum state. We also show that similar arguments can be used to prove that, e.g., 3-coloring 2-dimensional grids or $c$-coloring trees remain hard problems even for the non-signaling model, and in particular do not admit any quantum advantage. Our lower-bound arguments are purely graph-theoretic at heart; no background on quantum information theory is needed to establish the proofs.
6.
Srinivasan Arunachalam, Vojtech Havlicek, Louis Schatzki
On the Role of Entanglement and Statistics in Learning Talk
2024.
Abstract | Tags: Intersection of quantum information and machine learning, Models of quantum computation, Quantum algorithms, Quantum complexity theory, Quantum error correction and fault-tolerant quantum computing
@Talk{T24_251,
title = {On the Role of Entanglement and Statistics in Learning},
author = {Srinivasan Arunachalam and Vojtech Havlicek and Louis Schatzki},
year = {2024},
date = {2024-01-01},
abstract = {We make progress in understanding the relationship between learning models with access to entangled, separable and statistical measurements in the quantum statistical query (QSQ) model. We show the following results. Entangled versus separable measurements: The goal is to learn an unknown f from the concept class C containing functions from 0,1^n to [k] given copies of a uniform superposition over |x,f(x)>. We show that, if T copies suffice to learn f using entangled measurements, O(nT^2) copies suffice to learn f using only separable measurements. Entangled versus statistical measurements: The goal is to learn a function f in C given access to separable measurements or statistical measurements. We exhibit a concept class C based of degree-2 functions with exponential separation between QSQ learning and quantum learning with entangled measurements (even in the presence of noise). This proves the "quantum analogue" of the seminal result of Blum et al. that separates classical SQ learning from classical PAC learning with classification noise. QSQ lower bounds for learning states: We introduce a quantum statistical query dimension (QSD), and use it to give lower bounds on the QSQ complexity of learning. We prove superpolynomial QSQ lower bounds for testing purity of quantum states, shadow tomography, learning coset states for the Abelian hidden subgroup problem, degree-2 functions, planted biclique states, and learning output states of Clifford circuits of depth polylog(n). We also show that an extension of QSD characterizes the complexity of general search problems. Further applications: We give an unconditional separation between weak and strong error mitigation and prove lower bounds for learning distributions in the QSQ model. Prior works by Quek et al., Hinsche et al., and Nietner et al. proved analogous results assuming diagonal measurements and our work removes this assumption.},
keywords = {Intersection of quantum information and machine learning, Models of quantum computation, Quantum algorithms, Quantum complexity theory, Quantum error correction and fault-tolerant quantum computing},
pubstate = {published},
tppubtype = {Talk}
}
We make progress in understanding the relationship between learning models with access to entangled, separable and statistical measurements in the quantum statistical query (QSQ) model. We show the following results. Entangled versus separable measurements: The goal is to learn an unknown f from the concept class C containing functions from 0,1^n to [k] given copies of a uniform superposition over |x,f(x)>. We show that, if T copies suffice to learn f using entangled measurements, O(nT^2) copies suffice to learn f using only separable measurements. Entangled versus statistical measurements: The goal is to learn a function f in C given access to separable measurements or statistical measurements. We exhibit a concept class C based of degree-2 functions with exponential separation between QSQ learning and quantum learning with entangled measurements (even in the presence of noise). This proves the "quantum analogue" of the seminal result of Blum et al. that separates classical SQ learning from classical PAC learning with classification noise. QSQ lower bounds for learning states: We introduce a quantum statistical query dimension (QSD), and use it to give lower bounds on the QSQ complexity of learning. We prove superpolynomial QSQ lower bounds for testing purity of quantum states, shadow tomography, learning coset states for the Abelian hidden subgroup problem, degree-2 functions, planted biclique states, and learning output states of Clifford circuits of depth polylog(n). We also show that an extension of QSD characterizes the complexity of general search problems. Further applications: We give an unconditional separation between weak and strong error mitigation and prove lower bounds for learning distributions in the QSQ model. Prior works by Quek et al., Hinsche et al., and Nietner et al. proved analogous results assuming diagonal measurements and our work removes this assumption.
7.
Uma Girish, Srinivasan Arunachalam, Noam Lifshitz
One Clean Qubit Suffices for Quantum Communication Advantage Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum algorithms, Quantum communication, Quantum complexity theory
@Talk{T24_30,
title = {One Clean Qubit Suffices for Quantum Communication Advantage},
author = {Uma Girish and Srinivasan Arunachalam and Noam Lifshitz},
year = {2024},
date = {2024-01-01},
abstract = {We study the one-clean-qubit model of quantum communication where one qubit is in a pure state and all other qubits are maximally mixed. We demonstrate a partial function that has a quantum protocol of cost O(log N) in this model, however, every interactive randomized protocol has cost Ømega(sqrtN), settling a conjecture of Klauck and Lim. In contrast, all prior quantum versus classical communication separations required at least Ømega(log N) clean qubits. The function demonstrating our separation also has an efficient protocol in the quantum-simultaneous-with-entanglement model of cost O(log N). We thus recover the state-of-the-art separations between quantum and classical communication complexity. Our proof is based on a recent hypercontractivity inequality introduced by Ellis, Kindler, Lifshitz, and Minzer, in conjunction with tools from the representation theory of compact Lie groups.},
keywords = {Models of quantum computation, Quantum algorithms, Quantum communication, Quantum complexity theory},
pubstate = {published},
tppubtype = {Talk}
}
We study the one-clean-qubit model of quantum communication where one qubit is in a pure state and all other qubits are maximally mixed. We demonstrate a partial function that has a quantum protocol of cost O(log N) in this model, however, every interactive randomized protocol has cost Ømega(sqrtN), settling a conjecture of Klauck and Lim. In contrast, all prior quantum versus classical communication separations required at least Ømega(log N) clean qubits. The function demonstrating our separation also has an efficient protocol in the quantum-simultaneous-with-entanglement model of cost O(log N). We thus recover the state-of-the-art separations between quantum and classical communication complexity. Our proof is based on a recent hypercontractivity inequality introduced by Ellis, Kindler, Lifshitz, and Minzer, in conjunction with tools from the representation theory of compact Lie groups.
8.
Amirreza Akbari, Xavier Coiteux-Roy, Francesco D'Amore, Francois Le Gall, Henrik Lievonen, Darya Melnyk, Augusto Modanese, Shreyas Pai, Marc-Olivier Renou, Václav Rozhoň, Jukka Suomela
Online Locality Meets Distributed Quantum Computing Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum algorithms
@Talk{T24_61,
title = {Online Locality Meets Distributed Quantum Computing},
author = {Amirreza Akbari and Xavier Coiteux-Roy and Francesco D'Amore and Francois Le Gall and Henrik Lievonen and Darya Melnyk and Augusto Modanese and Shreyas Pai and Marc-Olivier Renou and Václav Rozhoň and Jukka Suomela},
year = {2024},
date = {2024-01-01},
abstract = {We extend the theory of locally checkable labeling problems (LCLs) from the classical LOCAL model to a number of other models that have been studied recently, including the quantum-LOCAL model, finitely-dependent processes, non-signaling model, dynamic-LOCAL model, and online-LOCAL model [e.g. STOC 2024, ICALP 2023]. First, we demonstrate the advantage that finitely-dependent processes have over the classical LOCAL model. We show that all LCL problems solvable with locality $O(łog* n)$ in the LOCAL model admit a finitely-dependent distribution (with constant locality). In particular, this gives a finitely-dependent coloring for regular trees, answering an open question by Holroyd [2023]. This also introduces a new formal barrier for understanding the distributed quantum advantage: it is not possible to exclude quantum advantage for any LCL in the $Theta(łog* n)$ complexity class by using non-signaling arguments. Second, we put limits on the capabilities of all of these models. To this end, we introduce a model called randomized online-LOCAL, which is strong enough to simulate e.g. SLOCAL and dynamic-LOCAL, and we show that it is also strong enough to simulate any non-signaling distribution and hence any quantum-LOCAL algorithm. We prove the following result for trees: if we can solve an LCL problem with locality $o(łog^(gapexp) n)$ in the randomized online-LOCAL model, we can solve it with locality $O(łog* n)$ in the classical deterministic LOCAL model. Put together, these results show that in trees the set of LCLs that can be solved with locality $O(łog* n)$ is the same across all these models: locality $O(łog* n)$ in quantum-LOCAL, non-signaling model, dynamic-LOCAL, or online-LOCAL is not stronger than locality $O(łog* n)$ in the classical deterministic LOCAL model.},
keywords = {Models of quantum computation, Quantum algorithms},
pubstate = {published},
tppubtype = {Talk}
}
We extend the theory of locally checkable labeling problems (LCLs) from the classical LOCAL model to a number of other models that have been studied recently, including the quantum-LOCAL model, finitely-dependent processes, non-signaling model, dynamic-LOCAL model, and online-LOCAL model [e.g. STOC 2024, ICALP 2023]. First, we demonstrate the advantage that finitely-dependent processes have over the classical LOCAL model. We show that all LCL problems solvable with locality $O(łog* n)$ in the LOCAL model admit a finitely-dependent distribution (with constant locality). In particular, this gives a finitely-dependent coloring for regular trees, answering an open question by Holroyd [2023]. This also introduces a new formal barrier for understanding the distributed quantum advantage: it is not possible to exclude quantum advantage for any LCL in the $Theta(łog* n)$ complexity class by using non-signaling arguments. Second, we put limits on the capabilities of all of these models. To this end, we introduce a model called randomized online-LOCAL, which is strong enough to simulate e.g. SLOCAL and dynamic-LOCAL, and we show that it is also strong enough to simulate any non-signaling distribution and hence any quantum-LOCAL algorithm. We prove the following result for trees: if we can solve an LCL problem with locality $o(łog^(gapexp) n)$ in the randomized online-LOCAL model, we can solve it with locality $O(łog* n)$ in the classical deterministic LOCAL model. Put together, these results show that in trees the set of LCLs that can be solved with locality $O(łog* n)$ is the same across all these models: locality $O(łog* n)$ in quantum-LOCAL, non-signaling model, dynamic-LOCAL, or online-LOCAL is not stronger than locality $O(łog* n)$ in the classical deterministic LOCAL model.
9.
Joseph Slote
Parity vs. AC0 with simple quantum preprocessing Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum complexity theory
@Talk{T24_280,
title = {Parity vs. AC0 with simple quantum preprocessing},
author = {Joseph Slote},
year = {2024},
date = {2024-01-01},
abstract = {A recent line of work has shown the unconditional advantage of constant-depth quantum computation, or QNC0, over NC0, AC0, and related models of classical computation. Problems exhibiting this advantage include search and sampling tasks related to the parity function, and it is natural to ask whether QNC0 can be used to help compute parity itself. Namely, we study AC0◦QNC0—a hybrid circuit model where AC0 operates on measurement outcomes of a QNC0 circuit—and we ask whether Par ∈ AC0◦QNC0. We believe the answer is negative. In fact, we conjecture AC0◦QNC0 cannot even achieve Ω(1) correlation with parity. As evidence for this conjecture, we prove the following: • When the QNC0 circuit is ancilla-free, we show this model can achieve only negligible correlation with parity, even when AC0 is replaced with any function having LMN-like decay in its Fourier spectrum. • For the general (non-ancilla-free) case, we show via a connection to nonlocal games that the conjecture holds for any class of postprocessing functions that has approximate degree o(n) and is closed under restrictions. Moreover, this is true even when the QNC0 circuit is given arbitrary quantum advice. By known results, this confirms the conjecture for linear-size AC0 circuits. • Another approach to proving the conjecture is to show a switching lemma for AC0◦QNC0. Towards this goal, we study the effect of quantum preprocessing on the decision tree complexity of Boolean functions. We find that from the point of view of a decision tree, nonlocal channels are no better than randomness: a Boolean function f precomposed with an n-party nonlocal channel is together equal to a randomized decision tree with depth no greater than DTdepth[f]. Taken together, our results suggest that while QNC0 is surprisingly powerful for search and sampling, that power is “locked away” in the global correlations of its output, inaccessible to simple classical computation for solving decision problems.},
keywords = {Models of quantum computation, Quantum complexity theory},
pubstate = {published},
tppubtype = {Talk}
}
A recent line of work has shown the unconditional advantage of constant-depth quantum computation, or QNC0, over NC0, AC0, and related models of classical computation. Problems exhibiting this advantage include search and sampling tasks related to the parity function, and it is natural to ask whether QNC0 can be used to help compute parity itself. Namely, we study AC0◦QNC0—a hybrid circuit model where AC0 operates on measurement outcomes of a QNC0 circuit—and we ask whether Par ∈ AC0◦QNC0. We believe the answer is negative. In fact, we conjecture AC0◦QNC0 cannot even achieve Ω(1) correlation with parity. As evidence for this conjecture, we prove the following: • When the QNC0 circuit is ancilla-free, we show this model can achieve only negligible correlation with parity, even when AC0 is replaced with any function having LMN-like decay in its Fourier spectrum. • For the general (non-ancilla-free) case, we show via a connection to nonlocal games that the conjecture holds for any class of postprocessing functions that has approximate degree o(n) and is closed under restrictions. Moreover, this is true even when the QNC0 circuit is given arbitrary quantum advice. By known results, this confirms the conjecture for linear-size AC0 circuits. • Another approach to proving the conjecture is to show a switching lemma for AC0◦QNC0. Towards this goal, we study the effect of quantum preprocessing on the decision tree complexity of Boolean functions. We find that from the point of view of a decision tree, nonlocal channels are no better than randomness: a Boolean function f precomposed with an n-party nonlocal channel is together equal to a randomized decision tree with depth no greater than DTdepth[f]. Taken together, our results suggest that while QNC0 is surprisingly powerful for search and sampling, that power is “locked away” in the global correlations of its output, inaccessible to simple classical computation for solving decision problems.
10.
Joel Rajakumar, James Watson, Yi-Kai Liu
Polynomial-Time Classical Simulation of Noisy IQP Circuits after Constant Depth Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum complexity theory, Simulation of quantum systems
@Talk{T24_82,
title = {Polynomial-Time Classical Simulation of Noisy IQP Circuits after Constant Depth},
author = {Joel Rajakumar and James Watson and Yi-Kai Liu},
year = {2024},
date = {2024-01-01},
abstract = {Sampling from the output distributions of quantum computations comprising only commuting gates, known as instantaneous quantum polynomial (IQP) computations, is believed to be intractable for classical computers, and hence this task has become a leading candidate for testing the capabilities of quantum devices. Here we demonstrate that for an arbitrary IQP circuit undergoing dephasing or depolarizing noise, the output distribution can be efficiently sampled by a classical computer after a critical $O(1)$ depth. Unlike other simulation algorithms for quantum supremacy tasks, we do not require assumptions on the circuit's architecture, on anti-concentration properties, nor do we require $Ømega(łog(n))$ circuit depth. We take advantage of the fact that IQP circuits have deep sections of diagonal gates, which allows the noise to build up predictably and induce a large-scale breakdown of entanglement within the circuit. Our results suggest that quantum supremacy experiments based on IQP circuits may be more susceptible to classical simulation than previously thought.},
keywords = {Models of quantum computation, Quantum complexity theory, Simulation of quantum systems},
pubstate = {published},
tppubtype = {Talk}
}
Sampling from the output distributions of quantum computations comprising only commuting gates, known as instantaneous quantum polynomial (IQP) computations, is believed to be intractable for classical computers, and hence this task has become a leading candidate for testing the capabilities of quantum devices. Here we demonstrate that for an arbitrary IQP circuit undergoing dephasing or depolarizing noise, the output distribution can be efficiently sampled by a classical computer after a critical $O(1)$ depth. Unlike other simulation algorithms for quantum supremacy tasks, we do not require assumptions on the circuit's architecture, on anti-concentration properties, nor do we require $Ømega(łog(n))$ circuit depth. We take advantage of the fact that IQP circuits have deep sections of diagonal gates, which allows the noise to build up predictably and induce a large-scale breakdown of entanglement within the circuit. Our results suggest that quantum supremacy experiments based on IQP circuits may be more susceptible to classical simulation than previously thought.
11.
Minki Hhan, Takashi Yamakawa, Aaram Yun
Quantum Generic Hardness for Discrete Logarithms and Integer Factorization Talk
2024.
Abstract | Tags: Models of quantum computation, Quantum algorithms, Quantum complexity theory
@Talk{T24_68,
title = {Quantum Generic Hardness for Discrete Logarithms and Integer Factorization},
author = {Minki Hhan and Takashi Yamakawa and Aaram Yun},
year = {2024},
date = {2024-01-01},
abstract = {We study the quantum computational complexity of the discrete logarithm (DL) problems and integer factorization in the context of ``generic algorithms''—that is, algorithms that do not exploit any properties of the group/ring encoding. We establish the generic models of quantum algorithms for group/ring problems as quantum analogs of their classical counterparts. In these models, we count the number of group/ring operations as complexity measures. Shor's and Regev's algorithms (or their slight modifications) can be described in these models. We show the quantum complexity lower bounds and (almost) matching algorithms of the discrete logarithm and integer factorization in these models. * (The DL problem, fully quantum setting) We prove that any generic quantum DL algorithm must make a logarithmic number of group operations for the group size, showing that Shor's algorithm that makes the logarithmic number of group operations is asymptotically optimal regarding the number of group operations. This holds even considering parallel quantum algorithms. * (The DL problem, hybrid/memory-bounded setting) We observe that some (known) variations of Shor's algorithm can take advantage of classical computations to reduce the number and depth of quantum group operations. We establish a model for generic hybrid quantum-classical algorithms and prove the matching lower bounds. We also study the memory-bounded setting and establish asymptotically tight lower bounds. We extend these results to the multiple-instance DL problem with a matching new algorithm. * (Integer factorization) We give a logarithmic lower bound for the order-finding algorithms, an important step for Shor's algorithm. We also prove a logarithmic lower bound for a certain generic factoring algorithm outputting relatively small integers, which includes a modified version of Regev's algorithm.},
keywords = {Models of quantum computation, Quantum algorithms, Quantum complexity theory},
pubstate = {published},
tppubtype = {Talk}
}
We study the quantum computational complexity of the discrete logarithm (DL) problems and integer factorization in the context of ``generic algorithms''—that is, algorithms that do not exploit any properties of the group/ring encoding. We establish the generic models of quantum algorithms for group/ring problems as quantum analogs of their classical counterparts. In these models, we count the number of group/ring operations as complexity measures. Shor's and Regev's algorithms (or their slight modifications) can be described in these models. We show the quantum complexity lower bounds and (almost) matching algorithms of the discrete logarithm and integer factorization in these models. * (The DL problem, fully quantum setting) We prove that any generic quantum DL algorithm must make a logarithmic number of group operations for the group size, showing that Shor's algorithm that makes the logarithmic number of group operations is asymptotically optimal regarding the number of group operations. This holds even considering parallel quantum algorithms. * (The DL problem, hybrid/memory-bounded setting) We observe that some (known) variations of Shor's algorithm can take advantage of classical computations to reduce the number and depth of quantum group operations. We establish a model for generic hybrid quantum-classical algorithms and prove the matching lower bounds. We also study the memory-bounded setting and establish asymptotically tight lower bounds. We extend these results to the multiple-instance DL problem with a matching new algorithm. * (Integer factorization) We give a logarithmic lower bound for the order-finding algorithms, an important step for Shor's algorithm. We also prove a logarithmic lower bound for a certain generic factoring algorithm outputting relatively small integers, which includes a modified version of Regev's algorithm.
12.
Junqiao Lin
Tracial embeddable strategies: Lifting MIP* tricks to MIPco Talk
2024.
Abstract | Tags: Models of quantum computation, Other, Quantum complexity theory
@Talk{T24_130,
title = {Tracial embeddable strategies: Lifting MIP* tricks to MIPco},
author = {Junqiao Lin},
year = {2024},
date = {2024-01-01},
abstract = {We prove that any two-party correlation in the commuting operator model can be approximated using a tracial embeddable strategy, a class of strategy defined on a finite tracial von Neumann algebra, which we define in this paper. Using this characterization, we show that any approximately synchronous correlation can be approximated to the average of a collection of synchronous correlations in the commuting operator model. This generalizes the result from Vidick [JMP 2022] which only applies to finite-dimensional quantum correlations. As a corollary, we show that the quantum tensor code test from Ji et al. [FOCS 2022] follows the soundness property even under the general commuting operator model. Furthermore, we extend the state-dependent norm variant of the Gowers-Hatami theorem to finite von Neumann algebras. Combined with the aforementioned characterization, this enables us to lift many known results about robust self-testing for non-local games to the commuting operator model, including a sample efficient finite-dimensional EPR testing for the commuting operator strategies. We believe that, in addition to the contribution from this paper, this class of strategies can be helpful for further understanding non-local games in the infinite-dimensional setting.},
keywords = {Models of quantum computation, Other, Quantum complexity theory},
pubstate = {published},
tppubtype = {Talk}
}
We prove that any two-party correlation in the commuting operator model can be approximated using a tracial embeddable strategy, a class of strategy defined on a finite tracial von Neumann algebra, which we define in this paper. Using this characterization, we show that any approximately synchronous correlation can be approximated to the average of a collection of synchronous correlations in the commuting operator model. This generalizes the result from Vidick [JMP 2022] which only applies to finite-dimensional quantum correlations. As a corollary, we show that the quantum tensor code test from Ji et al. [FOCS 2022] follows the soundness property even under the general commuting operator model. Furthermore, we extend the state-dependent norm variant of the Gowers-Hatami theorem to finite von Neumann algebras. Combined with the aforementioned characterization, this enables us to lift many known results about robust self-testing for non-local games to the commuting operator model, including a sample efficient finite-dimensional EPR testing for the commuting operator strategies. We believe that, in addition to the contribution from this paper, this class of strategies can be helpful for further understanding non-local games in the infinite-dimensional setting.
