Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Experimental demonstration of a high-fidelity virtual two-qubit gate
Akhil Pratap Singh, K. Mitarai, Yasunari Suzuki +4 more·Jul 6, 2023
We experimentally demonstrate a virtual two-qubit gate and characterize it using quantum process tomography~(QPT). The virtual two-qubit gate decomposes an actual two-qubit gate into single-qubit unitary gates and projection gates in quantum circuits...
Classification and magic magnetic field directions for spin-orbit-coupled double quantum dots
Aritra Sen, G. Frank, Baksa Kolok +2 more·Jul 6, 2023
The spin of a single electron confined in a semiconductor quantum dot is a natural qubit candidate. Fundamental building blocks of spin-based quantum computing have been demonstrated in double quantum dots with significant spin-orbit coupling. Here, ...
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...
Demonstrating a superconducting dual-rail cavity qubit with erasure-detected logical measurements
K. Chou, Tali Shemma, H. McCarrick +32 more·Jul 6, 2023
A critical challenge in developing scalable error-corrected quantum systems is the accumulation of errors while performing operations and measurements. One promising approach is to design a system where errors can be detected and converted into erasu...
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...
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...
Measurement-induced phase transitions in the toric code
Amir-Reza Negari, S. Sahu, T. Hsieh·Jul 5, 2023
We show how distinct phases of matter can be generated by performing random single-qubit measurements on a subsystem of toric code. Using a parton construction, such measurements map to random Gaussian tensor networks, and in particular, random Pauli...
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...
Quantum Fisher information and multipartite entanglement in spin-1 chains
Federico Dell’Anna, S. Pradhan, C. Boschi +1 more·Jul 5, 2023
In this paper, we study the ground state Quantum Fisher Information (QFI) in one-dimensional spin-1 models, as witness to Multipartite Entanglement. The models addressed are the Bilinear-Biquadratic model, the most general isotropic SU(2)-invariant s...
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...
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...
Classically efficient regimes in measurement based quantum computation performed using diagonal two qubit gates and cluster measurements
Sahar Atallah, Michael Garn, Yukuan Tao +1 more·Jul 4, 2023
In a recent work arXiv:2201.07655v2 we showed that there is a constant $λ>0$ such that it is possible to efficiently classically simulate a quantum system in which (i) qudits are placed on the nodes of a graph, (ii) each qudit undergoes at most $D$ d...
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...
Data-driven decoding of quantum error correcting codes using graph neural networks
Moritz Lange, Pontus Havström, Basudha Srivastava +6 more·Jul 3, 2023
To leverage the full potential of quantum error-correcting stabilizer codes it is crucial to have an efficient and accurate decoder. Accurate, maximum likelihood, decoders are computationally very expensive whereas decoders based on more efficient al...
Nonequilibrium dynamics of the Jaynes-Cummings dimer.
G. Vivek, Debabrata Mondal, S. Sinha·Jul 2, 2023
We investigate the nonequilibrium dynamics of a Josephson-coupled Jaynes-Cummings dimer in the presence of Kerr nonlinearity, which can be realized in the cavity and circuit quantum electrodynamics systems. The semiclassical dynamics is analyzed syst...
Using Cascade in quantum key distribution
Devashish Tupkary, Norbert Lütkenhaus·Jul 2, 2023
We point out a critical flaw in the analysis of Quantum Key Distribution (QKD) protocols that employ the two-way error correction protocol Cascade. Specifically, this flaw stems from an incom-plete consideration of all two-way communication that occu...