Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Majorization theoretical approach to entanglement enhancement via local filtration
Zacharie Van Herstraeten, Nicolas J. Cerf, Saikat Guha +1 more·Dec 4, 2023
From the perspective of majorization theory, we study how to enhance the entanglement of a two-mode squeezed vacuum (TMSV) state by using local filtration operations. We present several schemes achieving entanglement enhancement with photon addition ...
Charged particle interference in Kerr-Newman spacetime based on teleparallel gravity
Zhongyou Mo·Dec 4, 2023
The quantum interference of charged particles in Kerr-Newman spacetime is studied based on teleparallel gravity. We calculate the gravitational phase difference, electromagnetic phase difference, and fringe shifts. We find that the gravitational phas...
Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms
Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior +1 more·Dec 4, 2023
The data encoding circuits used in quantum support vector machine (QSVM) kernels play a crucial role in their classification accuracy. However, manually designing these circuits poses significant challenges in terms of time and performance. To addres...
From Qubits to Opinions: Operator and Error Syndrome Measurement in Quantum-Inspired Social Simulations on Transversal Gates
Yasuko Kawahata·Dec 4, 2023
This paper delves into the history and integration of quantum theory into areas such as opinion dynamics, decision theory, and game theory, offering a novel framework for social simulations. It introduces a quantum perspective for analyzing informati...
QPMeL - Quantum-Aware Classically-Trained Embeddings via Projective Metric Learning
Vinayak Sharma, Ashish Padhy, Sourav Behera +3 more·Dec 4, 2023
Deep metric learning has recently shown extremely promising results in the classical data domain, creating well-separated feature spaces. This idea was also adapted to quantum computers via Quantum Metric Learning(QMeL). QMeL consists of a 2-step pro...
Programmable simulations of molecules and materials with reconfigurable quantum processors
N. Maskara, S. Ostermann, J. Shee +9 more·Dec 4, 2023
Simulations of quantum chemistry and quantum materials are believed to be among the most important applications of quantum information processors. However, realizing practical quantum advantage for such problems is challenging because of the prohibit...
A Graphical Rule Book for Clifford Manipulations of Stabilizer States
A. Patil, Saikat Guha·Dec 4, 2023
Stabilizer states, along with Clifford manipulations (unitary transformations and measurements) thereof—despite being efficiently simulable on a classical computer—are an important tool in quantum information processing, with applications to quantum ...
The variational quantum eigensolver self-consistent field method within a polarizable embedded framework.
E. Kjellgren, Peter Reinholdt, Aaron Fitzpatrick +6 more·Dec 4, 2023
We formulate and implement the Variational Quantum Eigensolver Self Consistent Field (VQE-SCF) algorithm in combination with polarizable embedding (PE), thereby extending PE to the regime of quantum computing. We test the resulting algorithm, PE-VQE-...
Cooperative Jamming for Physical Layer Security Enhancement Using Deep Reinforcement Learning
S. A. Hoseini, F. Bouhafs, N. Aboutorab +2 more·Dec 4, 2023
Wireless data communications are always facing the risk of eavesdropping and interception. Conventional protection solutions which are based on encryption may not always be practical as is the case for wireless IoT networks or may soon become ineffec...
Quantum algorithm for the radiative-transfer equation
Asuka Igarashi, Tadashi Kadowaki, Shiro Kawabata·Dec 4, 2023
The radiation transfer equation is widely used for simulating such as heat transfer in engineering, diffuse optical tomography in healthcare, and radiation hydrodynamics in astrophysics. By combining the lattice Boltzmann method, we propose a quantum...
Challenges and opportunities in quantum optimization
Amira Abbas, A. Ambainis, Brandon Augustino +43 more·Dec 4, 2023
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-force classical simulation. Interest in quantum algorithms has developed in many areas, particularly in relation to mathematical optimization — a broad field with l...
Quantum Speedups for Multiproposal MCMC.
Chin-Yi Lin, Kuo-Chin Chen, P. Lemey +3 more·Dec 3, 2023
Multiproposal Markov chain Monte Carlo (MCMC) algorithms choose from multiple proposals to generate their next chain step in order to sample from challenging target distributions more efficiently. However, on classical machines, these algorithms requ...
Stochastic Model of Qudit Measurement for Superconducting Quantum Information Processing
Kangdi Yu·Dec 3, 2023
The field of superconducting quantum computing, based on Josephson junctions, has recently seen remarkable strides in scaling the number of logical qubits. In particular, the fidelities of one- and two-qubit gates are close to the breakeven point wit...
Quantum Simulation of Dissipative Energy Transfer via Noisy Quantum Computer
Chin-Yi Lin, Li-Chai Shih, Shin Sun +1 more·Dec 3, 2023
We study whether dissipative energy-transfer dynamics can be simulated on noisy near-term quantum hardware by treating device noise as a calibrated resource rather than purely as an error source. Focusing on a biased exciton dimer, we encode the sing...
Error correlations in photonic qudit-mediated entanglement generation
Xiaoyu Liu, Niv Bharos, Liubov Markovich +1 more·Dec 3, 2023
Generating entanglement between distributed network nodes is a prerequisite for the quantum internet. Entanglement distribution protocols based on high-dimensional photonic qudits enable the simultaneous generation of multiple entangled pairs, which ...
Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat
David Quiroga, Anastasios Kyrillidis·Dec 3, 2023
We propose a non-convex optimization algorithm, based on the Burer-Monteiro (BM) factorization, for the quantum process tomography problem, in order to estimate a low-rank process matrix χ for near-unitary quantum gates. In this work, we compare our ...
Quantum Factoring Algorithm using Grover Search
S. Whitlock, T. Kieu·Dec 3, 2023
We present a quantum algorithm for factoring products of prime numbers which exploits Grover search to factor any $n$-bit biprime using $2n-5$ qubits or less. The algorithm doesn't depend on any properties of the number to be factored, has guaranteed...
Simple and general unitarity conserving numerical real time propagators of time dependent Schrödinger equation based on Magnus expansion
Taner M. Ture, Seogjoo J. Jang·Dec 2, 2023
Magnus expansion (ME) provides a general way to expand the real-time propagator of a time-dependent Hamiltonian within the exponential such that the unitarity is satisfied at any order. We use this property and explicit integration of Lagrange interp...
Co-Designed Superconducting Architecture for Lattice Surgery of Surface Codes with Quantum Interface Routing Card
Charles Guinn, S. Stein, Esin Tureci +5 more·Dec 2, 2023
Facilitating the ability to achieve logical qubit error rates below physical qubit error rates, error correction is anticipated to play an important role in scaling quantum computers. While many algorithms require millions of physical qubits to be ex...
Scaling whole-chip QAOA for higher-order ising spin glass models on heavy-hex graphs
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio +2 more·Dec 2, 2023
We show that the quantum approximate optimization algorithm (QAOA) for higher-order, random coefficient, heavy-hex compatible spin glass Ising models has strong parameter concentration across problem sizes from 16 up to 127 qubits for p = 1 up to p =...