Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Recipe for local simulation of strongly correlated fermionic matter on quantum computers: The two-dimensional Fermi-Hubbard model
Arash Jafarizadeh, F. Pollmann, A. Gammon-Smith·Aug 26, 2024
The simulation of quantum many-body systems, relevant for quantum chemistry and condensed matter physics, is one of the most promising applications of near-term quantum computers before fault-tolerance. However, since the vast majority of quantum com...
Benchmarking the performance of a high-Q cavity qudit using random unitaries
N. Bornman, Tanay Roy, Joshua A. Job +4 more·Aug 23, 2024
High-coherence cavity resonators are excellent resources for encoding quantum information in higher-dimensional Hilbert spaces, moving beyond traditional qubit-based platforms. A natural strategy is to use the Fock basis to encode information in qudi...
QuCLEAR: Clifford Extraction and Absorption for Quantum Circuit Optimization
Ji Liu, A. Gonzales, Benchen Huang +2 more·Aug 23, 2024
Quantum computing carries significant potential for addressing practical problems. However, currently available quantum devices suffer from noisy quantum gates, which degrade the fidelity of executed quantum circuits. Therefore, quantum circuit optim...
Gravitational-wave matched filtering with variational quantum algorithms
J. Pye, Edric Matwiejew, Aidan Smith +3 more·Aug 23, 2024
In this paper, we explore the application of variational quantum algorithms designed for classical optimization to the problem of matched filtering in the detection of gravitational waves. Matched filtering for detecting gravitational wave signals re...
Ancilla-entangling Floquet kicks for accelerating quantum algorithms
C.C.-Joseph Wang, Phillip C. Lotshaw, Titus Morris +3 more·Aug 23, 2024
Quantum simulation with adiabatic annealing can provide insight into difficult problems that are impossible to study with classical computers. However, it deteriorates when the systems scale up due to the shrinkage of the excitation gap and thus plac...
ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks
Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo +2 more·Aug 23, 2024
Quantum computing has shown theoretical promise of speedup in several machine learning tasks, including generative tasks using generative adversarial networks (GANs). While quantum computers have been implemented with different types of technologies,...
Quantum Convolutional Neural Networks are Effectively Classically Simulable
Pablo Bermejo, Paolo Braccia, Manuel S. Rudolph +3 more·Aug 22, 2024
Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML). In this work we tie their heuristic success to two facts. First, that when randomly initialized, they can only operate on the i...
Quantum Circuit Optimization using Differentiable Programming of Tensor Network States
David Rogerson, Ananda Roy·Aug 22, 2024
Efficient quantum circuit optimization schemes are central to quantum simulation of strongly interacting quantum many body systems. Here, we present an optimization algorithm which combines machine learning techniques and tensor network methods. The ...
A Practical Introduction to Benchmarking and Characterization of Quantum Computers
A. Hashim, Long B. Nguyen, Noah Goss +16 more·Aug 22, 2024
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error co...
Efficient learning for linear properties of bounded-gate quantum circuits
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao·Aug 22, 2024
The vast and complicated many-qubit state space forbids us to comprehensively capture the dynamics of modern quantum computers via classical simulations or quantum tomography. Recent progress in quantum learning theory prompts a crucial question: can...
Faster Quantum Simulation Of Markovian Open Quantum Systems Via Randomisation
I. J. David, I. Sinayskiy, F. Petruccione·Aug 21, 2024
When simulating the dynamics of open quantum systems with quantum computers, it is essential to accurately approximate the system's behaviour while preserving the physicality of its evolution. Traditionally, for Markovian open quantum systems, this h...
A Quantum Approximate Optimization Algorithm-Based Decoder Architecture for NextG Wireless Channel Codes
Srikar Kasi, James Sud, Kyle Jamieson +1 more·Aug 21, 2024
Forward Error Correction (FEC) provides reliable data flow in wireless networks despite the presence of noise and interference. However, its processing demands significant fraction of a wireless network's resources, due to its computationally-expensi...
Quantum calculation for two-stream instability and advection test of Vlasov–Maxwell equations: numerical evaluation of Hamiltonian simulation
Hayato Higuchi, J. Pedersen, Kiichiro Toyoizumi +3 more·Aug 21, 2024
The Vlasov–Maxwell equations provide kinetic simulations of collisionless plasmas, but numerically solving them on classical computers is often impractical. This is due to the computational resource constraints imposed by the time evolution in the si...
Simulators for Quantum Network Modelling: A Comprehensive Review
Oceane Bel, M. Kiran·Aug 21, 2024
Quantum network research, is exploring new networking protocols, physics-based hardware and novel experiments to demonstrate how quantum distribution will work over large distances. Current work explores much of these concepts in simulations, that ar...
Bounding the Systematic Error in Quantum Error Mitigation due to Model Violation
L. Govia, S. Majumder, S.V. Barron +7 more·Aug 20, 2024
Quantum error mitigation is a promising route to achieving quantum utility, and potentially quantum advantage in the near term. Many state-of-the-art error-mitigation schemes use knowledge of the errors in the quantum processor, which opens up the qu...
Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer.
Patrick Ettenhuber, Mads Bøttger Hansen, Irfansha Shaik +7 more·Aug 20, 2024
Quantum computing (QC) provides a promising avenue for enabling quantum chemistry calculations, which are classically impossible due to computational complexity that increases exponentially with system size. As fully fault-tolerant algorithms and har...
Coprime Bivariate Bicycle Codes and Their Layouts on Cold Atoms
Ming Wang, Frank Mueller·Aug 19, 2024
Quantum computing is deemed to require error correction at scale to mitigate physical noise by reducing it to lower noise levels while operating on encoded logical qubits. Popular quantum error correction schemes include CSS code, of which surface co...
The curse of random quantum data
Kaining Zhang, Junyu Liu, Liu Liu +3 more·Aug 19, 2024
Quantum machine learning, which involves running machine learning algorithms on quantum devices, may be one of the most significant flagship applications for these devices. Unlike its classical counterparts, the role of data in quantum machine learni...
Floquet prethermalization of ${\bf Z}_2$ lattice gauge theory on superconducting qubits
Tomoya Hayata, Kazuhiro Seki, Arata Yamamoto·Aug 19, 2024
Simulating nonequilibirum dynamics of a quantum many-body system is one of the promising applications of quantum computing. We simulate the time evolution of one-dimensional ${\bf Z}_2$ lattice gauge theory on IBM's superconducting 156-qubit device i...
Angstrom-scale ion-beam engineering of ultrathin buried oxides for quantum and neuro-inspired computing
N. Smirnov, E. Krivko, D. Moskaleva +18 more·Aug 19, 2024
Multilayer nanoscale systems incorporating buried ultrathin tunnel oxides, 2D materials, and solid electrolytes are crucial for next-generation logics, memory, quantum and neuro-inspired computing. Still, an ultrathin layer control at angstrom scale ...