Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
A Multiscale Simulation Approach for Germanium-Hole-Based Quantum Processor
Tong Wu, Jing Guo·Jul 23, 2022
A multiscale simulation method is developed to model a quantum dot (QD) array of germanium (Ge) holes for quantum computing. Guided by 3-D numerical quantum device simulations of QD structures, an analytical model of the tunnel coupling between the n...
Tailgating quantum circuits for high-order energy derivatives
J. Ceroni, A. Delgado, S. Jahangiri +1 more·Jul 22, 2022
To understand the chemical properties of molecules, it is often important to study derivatives of energies with respect to nuclear coordinates or external fields. Quantum algorithms for computing energy derivatives have been proposed, but only limite...
Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation
Almudena Carrera Vazquez, D. Egger, David Ochsner +1 more·Jul 22, 2022
Simulating the time-evolution of a Hamiltonian is one of the most promising applications of quantum computers. Multi-Product Formulas (MPFs) are well suited to replace standard product formulas since they scale better with respect to time and approxi...
Programmable N-body interactions with trapped ions
O. Katz, M. Cetina, C. Monroe·Jul 21, 2022
Trapped atomic ion qubits or effective spins are a powerful quantum platform for quantum computation and simulation, featuring densely connected and efficiently programmable interactions between the spins. While native interactions between trapped io...
Two-Unitary Decomposition Algorithm and Open Quantum System Simulation
Nishchay Suri, J. Barreto, Stuart Hadfield +3 more·Jul 20, 2022
Simulating general quantum processes that describe realistic interactions of quantum systems following a non-unitary evolution is challenging for conventional quantum computers that directly implement unitary gates. We analyze complexities for promis...
Finite-temperature tensor network study of the Hubbard model on an infinite square lattice
Aritra Sinha, M. Rams, Piotr Czarnik +1 more·Jul 19, 2022
The Hubbard model is a longstanding problem in the theory of strongly correlated electrons and a very active one in the experiments with ultracold fermionic atoms. Motivated by current and prospective quantum simulations, we apply a two-dimensional t...
Quantum topology optimization of ground structures for near-term devices
Yuki Sato, R. Kondo, Satoshi Koide +1 more·Jul 19, 2022
Product development processes frequently use numerical simulations and mathematical programming techniques. Structural optimization, especially topology optimization, is one of the most promising techniques for generating insightful design choices. T...
Control and mitigation of microwave crosstalk effect with superconducting qubits
Ruixia Wang, Peng Zhao, Yirong Jin +1 more·Jul 18, 2022
Improving gate performance is vital for scalable quantum computing. Universal quantum computing also requires gate fidelity to reach a high level. For a superconducting quantum processor, which operates in the microwave band, the single-qubit gates a...
Preparing valence-bond-solid states on noisy intermediate-scale quantum computers
Bruno Murta, P. M. Q. Cruz, J. Fern'andez-Rossier·Jul 15, 2022
Quantum state preparation is a key step in all digital quantum simulation algorithms. Here we propose methods to initialize on a gate-based quantum computer a general class of quantum spin wave functions, the so-called Valence-Bond-Solid (VBS) states...
Nonclassical Advantage in Metrology Established via Quantum Simulations of Hypothetical Closed Timelike Curves.
D. Arvidsson-Shukur, Aidan G. McConnell, Nicole Yunger Halpern·Jul 15, 2022
We construct a metrology experiment in which the metrologist can sometimes amend the input state by simulating a closed timelike curve, a worldline that travels backward in time. The existence of closed timelike curves is hypothetical. Nevertheless, ...
A rapidly mixing Markov chain from any gapped quantum many-body system
S. Bravyi, Giuseppe Carleo, David Gosset +1 more·Jul 14, 2022
We consider the computational task of sampling a bit string x from a distribution π(x)=|⟨x|ψ⟩|2, where ψ is the unique ground state of a local Hamiltonian H. Our main result describes a direct link between the inverse spectral gap of H and the mixing...
Quantum Metropolis Solver: a quantum walks approach to optimization problems
Roberto Campos, Pablo Antonio Moreno Casares, M. Martin-Delgado·Jul 13, 2022
The efficient resolution of optimization problems is one of the key issues in today’s industry. This task relies mainly on classical algorithms that present scalability problems and processing limitations. Quantum computing has emerged to challenge t...
Syndrome decoding by quantum approximate optimization
C. Lai, Kao-Yueh Kuo, Bo-Jyun Liao·Jul 13, 2022
The syndrome decoding problem is known to be NP-complete. The goal of the decoder is to find an error of low weight that corresponds to a given syndrome obtained from a parity-check matrix. We use the quantum approximate optimization algorithm (QAOA)...
Quantum computing fidelity susceptibility using automatic differentiation
Olivia Di Matteo, R. Woloshyn·Jul 13, 2022
Automatic differentiation is an invaluable feature of machine learning and quantum machine learning software libraries. In this work it is shown how quantum automatic differentiation can be used to solve the condensed-matter problem of computing fide...
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines
Fei Hua, Yuwei Jin, A. Li +5 more·Jul 12, 2022
Near-term quantum systems tend to be noisy. Crosstalk noise has been recognized as one of several major types of noises in superconducting Noisy Intermediate-Scale Quantum (NISQ) devices. Crosstalk arises from the concurrent execution of two-qubit ga...
A randomized benchmarking suite for mid-circuit measurements
L. Govia, P. Jurcevic, C. J. Wood +3 more·Jul 11, 2022
Mid-circuit measurements are a key component in many quantum information computing protocols, including quantum error correction, fault-tolerant logical operations, and measurement based quantum computing. As such, techniques to quickly and efficient...
Information flow in parameterized quantum circuits
Abhinav Anand, Lasse Bjørn Kristensen, Felix Frohnert +2 more·Jul 11, 2022
In this work, we introduce a new way to quantify information flow in quantum systems, especially for parameterized quantum circuits (PQCs). We use a graph representation of the circuits and propose a new distance metric using the mutual information b...
Discrete-time quantum walks in qudit systems
A. Saha, Debasri Saha, Amlan Chakrabarti·Jul 9, 2022
Quantum walks contribute significantly to developing quantum algorithms and quantum simulations. Here, we introduce a first of its kind one-dimensional quantum walk in the d-dimensional quantum domain, where d>2\documentclass[12pt]{minimal} \usepacka...
Computing electronic correlation energies using linear depth quantum circuits
Chong Hian Chee, A. Mak, D. Leykam +2 more·Jul 8, 2022
Efficient computation of molecular energies is an exciting application of quantum computing for quantum chemistry, but current noisy intermediate-scale quantum (NISQ) devices can only execute shallow circuits, limiting existing variational quantum al...
The Quantum Approximate Optimization Algorithm performance with low entanglement and high circuit depth
Rishi Sreedhar, Pontus Vikstaal, Marika Svensson +3 more·Jul 7, 2022
Variational quantum algorithms constitute one of the most widespread methods for using current noisy quantum computers. However, it is unknown if these heuristic algorithms provide any quantum-computational speedup, although we cannot simulate them c...