Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
Petr Zapletal, Nathan A. McMahon, M. Hartmann·Jul 7, 2023
The analysis of noisy quantum states prepared on current quantum computers is getting beyond the capabilities of classical computing. Quantum neural networks based on parametrized quantum circuits, measurements and feed-forward can process large amou...
Path-integral simulation of exchange interactions in CMOS spin qubits
J. D. Cifuentes, Philip Y. Mai, Fr'ed'eric Schlattner +5 more·Jul 7, 2023
The boom of semiconductor quantum computing platforms created a demand for computer-aided design and fabrication of quantum devices. Path integral Monte Carlo (PIMC) can have an important role in this effort because it intrinsically integrates strong...
Quantum Computing for High-Energy Physics: State of the Art and Challenges
A. D. Meglio, K. Jansen, I. Tavernelli +43 more·Jul 6, 2023
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup of numerica...
A Hybrid Quantum-Classical Generative Adversarial Network for Near-Term Quantum Processors
Albha O’Dwyer Boyle, R. Nikandish·Jul 6, 2023
In this article, we present a hybrid quantum-classical generative adversarial network (GAN) for near-term quantum processors. The hybrid GAN comprises a variational generator and a discriminator quantum neural network, which are trained using a class...
Explainable quantum regression algorithm with encoded data structure
C.C.-Joseph Wang, F. Perkkola, I. Salmenperá +3 more·Jul 6, 2023
Hybrid variational quantum algorithms (VQAs) are promising for solving practical problems such as combinatorial optimization, quantum chemistry simulation, quantum machine learning, and quantum error correction on noisy quantum computers. However, wi...
Adaptive projected variational quantum dynamics
David Linteau, Stefano Barison, N. Lindner +1 more·Jul 6, 2023
We propose an adaptive quantum algorithm to prepare accurate variational time evolved wave functions. The method is based on the projected Variational Quantum Dynamics (pVQD) algorithm, that performs a global optimization with linear scaling in the n...
High-Energy Collision of Quarks and Mesons in the Schwinger Model: From Tensor Networks to Circuit QED.
R. Belyansky, Seth Whitsitt, N. Mueller +4 more·Jul 5, 2023
With the aim of studying nonperturbative out-of-equilibrium dynamics of high-energy particle collisions on quantum simulators, we investigate the scattering dynamics of lattice quantum electrodynamics in 1+1 dimensions. Working in the bosonized formu...
Quantum support vector machines for classification and regression on a trapped-ion quantum computer
Teppei Suzuki, T. Hasebe, Tsubasa Miyazaki·Jul 5, 2023
Quantum machine learning is a rapidly growing field at the intersection of quantum computing and machine learning. In this work, we examine our quantum machine learning models, which are based on quantum support vector classification (QSVC) and quant...
Landscape approximation of low-energy solutions to binary optimization problems
Benjamin Y. L. Tan, Beng Yee Gan, D. Leykam +1 more·Jul 5, 2023
We show how the localization landscape, originally introduced to bound low energy eigenstates of disordered wave media and many-body quantum systems, can form the basis for hardware-efficient quantum algorithms for solving binary optimization problem...
Information retrieval from Hawking radiation in the non-isometric model of black hole interior: Theory and quantum simulation
Ran Li, Xuanhua Wang, Kun Zhang +1 more·Jul 4, 2023
The non-isometric holographic model of the black hole interior stands out as a potential resolution of the long-standing black hole information puzzle since it remedies the friction between the effective calculation and the microscopic description. I...
Systematic Computation of Braid Generator Matrix in Topological Quantum Computing
Abdellah Tounsi, N. Belaloui, Mohamed Messaoud Louamri +3 more·Jul 4, 2023
We provide a comprehensive systematic method for the numerical computation of elementary braid operations in topological quantum computation (TQC). This {procedure} is systematically applicable to all anyon models, including $SU(2)_k$. Braiding non-a...
Carbon Emissions of Quantum Circuit Simulation: More than You Would Think
Jinyang Li, Qiang Guan, Dingwen Tao +1 more·Jul 4, 2023
The rapid advancement of quantum hardware brings a host of research opportunities and the potential for quantum advantages across numerous fields. In this landscape, quantum circuit simulations serve as an indispensable tool by emulating quantum beha...
Digital-analog quantum computation with arbitrary two-body Hamiltonians
Mikel Garcia-de-Andoin, Á. Sáiz, Pedro P'erez-Fern'andez +3 more·Jul 3, 2023
Digital-analog quantum computing is a computational paradigm which employs an analog Hamiltonian resource together with single-qubit gates to reach universality. Here, we design a new scheme which employs an arbitrary two-body source Hamiltonian, ext...
Accelerated variational quantum eigensolver with joint Bell measurement
Chengfeng Cao, Hiroshi Yano, Yuya O. Nakagawa·Jul 3, 2023
The variational quantum eigensolver (VQE) stands as a prominent quantum-classical hybrid algorithm for near-term quantum computers to obtain the ground states of molecular Hamiltonians in quantum chemistry. However, due to the non-commutativity of th...
Classical benchmarking of zero noise extrapolation beyond the exactly-verifiable regime
Sajant Anand, K. Temme, A. Kandala +1 more·Jun 30, 2023
In a recent work a quantum error mitigation protocol was applied to the expectation values obtained from circuits on the IBM Eagle quantum processor with up $127$ - qubits with up to $60 \; - \; \mbox{CNOT}$ layers. To benchmark the efficacy of this ...
Tunable coupler to fully decouple and maximally localize superconducting qubits
Lukas Heunisch, C. Eichler, M. Hartmann·Jun 29, 2023
Enhancing the capabilities of superconducting quantum hardware, requires higher gate fidelities and lower crosstalk, particularly in larger scale devices, in which qubits are coupled to multiple neighbors. Progress towards both of these objectives wo...
Universal Quantum Optimization with Cold Atoms in an Optical Cavity.
Meng Ye, Ye Tian, Jian Lin +6 more·Jun 29, 2023
Cold atoms in an optical cavity have been widely used for quantum simulations of many-body physics, where the quantum control capability has been advancing rapidly in recent years. Here, we show the atom cavity system is universal for quantum optimiz...
Quantum data learning for quantum simulations in high-energy physics
Lento Nagano, Alexander Miessen, Tamiya Onodera +3 more·Jun 29, 2023
Quantum machine learning with parametrised quantum circuits has attracted significant attention over the past years as an early application for the era of noisy quantum processors. However, the possibility of achieving concrete advantages over classi...
Efficient Sampling of Noisy Shallow Circuits Via Monitored Unraveling
Zihan Cheng, Matteo Ippoliti·Jun 28, 2023
We introduce a classical algorithm for sampling the output of shallow, noisy random circuits on two-dimensional qubit arrays. The algorithm builds on the recently-proposed"space-evolving block decimation"(SEBD) and extends it to the case of noisy cir...
Fast classical simulation of evidence for the utility of quantum computing before fault tolerance
Tomislav Beguvsi'c, G. Chan·Jun 28, 2023
We show that a classical algorithm based on sparse Pauli dynamics can efficiently simulate quantum circuits studied in a recent experiment on 127 qubits of IBM's Eagle processor [Nature 618, 500 (2023)]. Our classical simulations on a single core of ...