Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Study of noise in virtual distillation circuits for quantum error mitigation
Pontus Vikstål, G. Ferrini, S. Puri·Oct 27, 2022
Virtual distillation has been proposed as an error mitigation protocol for estimating the expectation values of observables in quantum algorithms. It proceeds by creating a cyclic permutation of M noisy copies of a quantum state using a sequence of c...
Quantum-enhanced mean value estimation via adaptive measurement
Kaito Wada, Kazuma Fukuchi, Naoki Yamamoto·Oct 27, 2022
Quantum-enhanced (i.e., higher performance by quantum effects than any classical methods) mean value estimation of observables is a fundamental task in various quantum technologies; in particular, it is an essential subroutine in quantum computing al...
Universal robust quantum gates by geometric correspondence of noisy quantum evolution
Yong-Ju Hai, Junning Li, Junkai Zeng +2 more·Oct 26, 2022
A key to the next leap in quantum technologies and quantum computing relies on precise and robust control over noisy quantum systems. For the first time, our theory uncovers an essential correspondence between the driven noisy quantum evolution and m...
Machine Learning Assisted Design and Optimization of Transition Metal-Incorporated Carbon Quantum Dot Catalysts for Hydrogen Evolution Reaction
Duong Nguyen Nguyen, Min-Cheol Kim, Unbeom Baeck +7 more·Oct 26, 2022
Development of cost-effective hydrogen evolution reaction (HER) catalysts with outstanding catalytic activity, replacing cost-prohibitive noble metal-based catalysts, is critical for practical green hydrogen production. A popular strategy for promoti...
Implementing arbitrary quantum operations via quantum walks on a cycle graph
Jia-Yi Lin, Xinyou Li, Yusheng Shao +2 more·Oct 26, 2022
The quantum circuit model is the most commonly used model for implementing quantum computers and quantum neural networks whose essential tasks are to realize certain unitary operations. Here we propose an alternative approach; we use a simple discret...
Variational quantum simulation of the critical Ising model with symmetry averaging
Troy J. Sewell, N. Bao, S. Jordan·Oct 26, 2022
Here, we investigate the use of deep multi-scale entanglement renormalization (DMERA) circuits as a variational ansatz for ground states of gapless systems. We use the exactly-solvable one-dimensional critical transverse-field Ising model as a testbe...
Quantum Deep Recurrent Reinforcement Learning
Samuel Yen-Chi Chen·Oct 26, 2022
Recent advances in quantum computing (QC) and machine learning (ML) have drawn significant attention to the development of quantum machine learning (QML). Reinforcement learning (RL) is one of the ML paradigms which can be used to solve complex seque...
Hunting for quantum-classical crossover in condensed matter problems
N. Yoshioka, T. Okubo, Yasunari Suzuki +2 more·Oct 25, 2022
The intensive pursuit for quantum advantage in terms of computational complexity has further led to a modernized crucial question of when and how will quantum computers outperform classical computers. The next milestone is undoubtedly the realization...
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
Ruilin Liu, Sebastián V. Romero, I. Oregi +3 more·Oct 25, 2022
Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics. In this article, two ways to digitally prepare coherent states in quantum circuits are introduc...
Resource-efficient simulation of noisy quantum circuits and application to network-enabled QRAM optimization
Lu'is Bugalho, E. Z. Cruzeiro, Kevin C. Chen +3 more·Oct 24, 2022
Giovannetti, Lloyd, and Maccone (2008) proposed a quantum random access memory (QRAM) architecture to retrieve arbitrary superpositions of N (quantum) memory cells via quantum switches and $$O(\log (N))$$ O ( log ( N ) ) address qubits. Toward physic...
Transformations for accelerator-based quantum circuit simulation in Haskell
Youssef Moawad, W. Vanderbauwhede, R. Steijl·Oct 23, 2022
For efficient hardware-accelerated simulations of quantum circuits, we can define hardware-specific quantum-circuit transformations. We use a functional programming approach to create a quantum-circuit analysis and transformation method implemented i...
Quantum Gauge Networks: A New Kind of Tensor Network
K. Slagle·Oct 21, 2022
Although tensor networks are powerful tools for simulating low-dimensional quantum physics, tensor network algorithms are very computationally costly in higher spatial dimensions. We introduce quantum gauge networks: a different kind of tensor networ...
Sensitivity of quantum gate fidelity to laser phase and intensity noise
X. Jiang, J. Scott, M. Friesen +1 more·Oct 20, 2022
The fidelity of gate operations on neutral atom qubits is often limited by fluctuations of the laser drive. Here, we quantify the sensitivity of quantum gate fidelities to laser phase and intensity noise. We first develop models to identify features ...
Doubling the order of approximation via the randomized product formula
Chien-Hung Cho, D. Berry, Min-Hsiu Hsieh·Oct 20, 2022
Randomization has been applied to Hamiltonian simulation in a number of ways to improve the accuracy or efficiency of product formulas. Deterministic product formulas are often constructed in a symmetric way to provide accuracy of even order 2k. We s...
Classical Simulation of Short-Time Quantum Dynamics
D. Wild, Álvaro M. Alhambra·Oct 20, 2022
Recent progress in the development of quantum technologies has enabled the direct investigation of dynamics of increasingly complex quantum many-body systems. This motivates the study of the complexity of classical algorithms for this problem in orde...
Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning
Giuseppe Scriva, Emanuele Costa, B. McNaughton +1 more·Oct 20, 2022
Adiabatic quantum computers, such as the quantum annealers commercialized by D-Wave Systems Inc., are routinely used to tackle combinatorial optimization problems. In this article, we show how to exploit them to accelerate equilibrium Markov chain Mo...
Investigating quantum many-body systems with tensor networks, machine learning and quantum computers
Korbinian Kottmann·Oct 20, 2022
(English) We perform quantum simulation on classical and quantum computers and set up a machine learning framework in which we can map out phase diagrams of known and unknown quantum many-body systems in an unsupervised fashion. The classical simula...
Efficient inference in the transverse field Ising model
E. Dominguez, H. Kappen·Oct 20, 2022
In this paper we introduce an approximate method to solve the quantum cavity equations for transverse field Ising models. The method relies on a projective approximation of the exact cavity distributions of imaginary time trajectories (paths). A key ...
A quantum analytical Adam descent through parameter shift rule using Qibo
Matteo Robbiati, Stavros Efthymiou, Andrea Pasquale +1 more·Oct 19, 2022
In this proceedings we present quantum machine learning optimization experiments using stochastic gradient descent with the parameter shift rule algorithm. We first describe the gradient evaluation algorithm and its optimization procedure implemented...
Accelerating the Assembly of Defect-Free Atomic Arrays with Maximum Parallelisms
Shuai Wang, WenJun Zhang, Zhang Tao +4 more·Oct 19, 2022
Defect-free atomic arrays have been demonstrated as a scalable and fully-controllable platform for quantum simulations and quantum computations. To push the qubit size limit of this platform further, we design an integrated measurement and feedback s...