Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,046 papers in 12 months (-2% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Bayesian Optimization for QAOA
Simone Tibaldi, D. Vodola, Edoardo Tignone +1 more·Sep 8, 2022
The quantum approximate optimization algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems. In fact, it relies on a classical subroutine to optimize the parameters of a quantum ...
Quantum Simulation on Noisy Superconducting Quantum Computers
Kaelyn Ferris, A. Rasmusson, N. Bronn +1 more·Sep 6, 2022
Quantum simulation is a potentially powerful application of quantum computing, holding the promise to be able to emulate interesting quantum systems beyond the reach of classical computing methods. Despite such promising applications, and the increas...
Quantum mixed state compiling
Nic Ezzell, E. Ball, Aliza U. Siddiqui +4 more·Sep 1, 2022
The task of learning a quantum circuit to prepare a given mixed state is a fundamental quantum subroutine. We present a variational quantum algorithm (VQA) to learn mixed states which is suitable for near-term hardware. Our algorithm represents a gen...
Variational Quantum Circuits for Multi-Qubit Gate Automata
Arunava Majumder, D. Lewis, Akshaya Jayashankar +2 more·Aug 31, 2022
Implementing quantum operations in the form of natural Hamiltonian dynamics is desirable, since they almost require no external control or feedback. In this work, we propose a NISQ-friendly quantum-classical hybrid approach to designing a time-indepe...
Advance quantum image representation and compression using DCTEFRQI approach
Md. Ershadul Haque, Manoranjon Paul, A. Ulhaq +1 more·Aug 30, 2022
In recent year, quantum image processing got a lot of attention in the field of image processing due to opportunity to place huge image data in quantum Hilbert space. Hilbert space or Euclidean space has infinite dimension to locate and process the i...
Qubit Mapping and Routing via MaxSAT
A. Molavi, Amanda Xu, Martin Diges +3 more·Aug 29, 2022
Near-term quantum computers will operate in a noisy environment, without error correction. A critical problem for near-term quantum computing is laying out a logical circuit onto a physical device with limited connectivity between qubits. This is kno...
Mid-circuit correction of correlated phase errors using an array of spectator qubits
Kevin Singh, C. Bradley, Shraddha Anand +3 more·Aug 24, 2022
Scaling up invariably error-prone quantum processors is a formidable challenge. Although quantum error correction ultimately promises fault-tolerant operation, the required qubit overhead and error thresholds are daunting. In a complementary proposal...
Quantum Volume for Photonic Quantum Processors.
Yuxuan Zhang, Daoheng Niu, A. Shabani +1 more·Aug 24, 2022
Defining metrics for near-term quantum computing processors has been an integral part of the quantum hardware research and development efforts. Such quantitative characteristics are not only useful for reporting the progress and comparing different q...
Noise tailoring for robust amplitude estimation
Archismita Dalal, Amara Katabarwa·Aug 24, 2022
A universal fault-tolerant quantum computer holds the promise to speed up computational problems that are otherwise intractable on classical computers; however, for the next decade or so, our access is restricted to noisy intermediate-scale quantum (...
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo +1 more·Aug 23, 2022
Kernel methods in Quantum Machine Learning (QML) have recently gained significant attention as a potential candidate for achieving a quantum advantage in data analysis. Among other attractive properties, when training a kernel-based model one is guar...
Variational quantum algorithms for local Hamiltonian problems
A. Uvarov·Aug 23, 2022
Variational quantum algorithms (VQAs) are a modern family of quantum algorithms designed to solve optimization problems using a quantum computer. Typically VQAs rely on a feedback loop between the quantum device and a classical optimization algorithm...
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun, Jihong Park, Joongheon Kim·Aug 22, 2022
Although quantum supremacy is yet to come, there has recently been an increasing interest in identifying the potential of quantum machine learning (QML) in the looming era of practical quantum computing. Motivated by this, in this article we re-desig...
Hamiltonian simulation of quantum beats in radical pairs undergoing thermal relaxation on near-term quantum computers.
Meltem Tolunay, I. Liepuoniute, M. Vyushkova +1 more·Aug 22, 2022
Quantum dynamics of the radical pair mechanism is a major driving force in quantum biology, materials science, and spin chemistry. The rich quantum physical underpinnings of the mechanism are determined by a coherent oscillation (quantum beats) betwe...
Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry.
Harshdeep Singh, S. Majumder, Sabyashachi Mishra·Aug 22, 2022
Classical optimizers play a crucial role in determining the accuracy and convergence of variational quantum algorithms; leading algorithms use a near-term quantum computer to solve the ground state properties of molecules, simulate dynamics of differ...
A hybrid classical-quantum algorithm for digital image processing
Alok Shukla, P. Vedula·Aug 20, 2022
A hybrid classical-quantum approach for evaluation of multi-dimensional Walsh–Hadamard transforms and its applications to quantum image processing are proposed. In this approach, multi-dimensional Walsh–Hadamard transforms are obtained using quantum ...
Optimal algorithms for learning quantum phase states
Srinivasan Arunachalam, S. Bravyi, Arko Dutt +1 more·Aug 16, 2022
We analyze the complexity of learning $n$-qubit quantum phase states. A degree-$d$ phase state is defined as a superposition of all $2^n$ basis vectors $x$ with amplitudes proportional to $(-1)^{f(x)}$, where $f$ is a degree-$d$ Boolean polynomial ov...
Fidelity of the Kitaev honeycomb model under a quench
Wesley Roberts, M. Vogl, G. Fiete·Aug 16, 2022
Motivated by rapid developments in the field of quantum computing and the increasingly diverse nature of qubits, we theoretically study the influence that quenched outside disturbances have in an intermediately long time limit. We consider localized ...
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
A. Glos, A. Nykanen, Elsi-Mari Borrelli +4 more·Aug 16, 2022
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier learning to measure strategies in two ways. First, by considering a class of adaptive po...
Modeling and simulation of a quantum thermal noise on the qubit
F. Chapeau-Blondeau·Aug 15, 2022
Quantum noise or decoherence is a major factor impacting the performance of quantum technologies. On the qubit, an important quantum noise, often relevant in practice, is the thermal noise or generalized amplitude damping noise, describing the intera...
Measuring incompatibility and clustering quantum observables with a quantum switch
Ni Gao, Dantong Li, Anchit Mishra +3 more·Aug 12, 2022
The existence of incompatible observables is a cornerstone of quantum mechanics and a valuable resource in quantum technologies. Here we introduce a measure of incompatibility, called the mutual eigenspace disturbance (MED), which quantifies the amou...