Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Mitigating photon loss in linear optical quantum circuits
James Mills, Rawad Mezher·May 3, 2024
Photon loss rates set an effective upper limit on the size of computations that can be run on current linear optical quantum devices. We present a family of techniques designed to mitigate the effects of photon loss on both output probabilities and e...
On computational complexity and average-case hardness of shallow-depth boson sampling
Byeongseon Go, Changhun Oh, Hyunseok Jeong·May 3, 2024
Boson sampling, a computational task believed to be classically hard to simulate, is expected to hold promise for demonstrating quantum computational advantage using near-term quantum devices. However, noise in experimental implementations poses a si...
Computational Electromagnetics Meets Spin Qubits: Controlling Noise Effects in Quantum Sensing and Computing
Wenbo Sun, S. Bharadwaj, Runwei Zhou +2 more·May 3, 2024
Solid-state spin qubits have emerged as promising platforms for quantum information. Despite extensive efforts in controlling noise in spin qubit quantum applications, one important but less controlled noise source is near-field electromagnetic fluct...
Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement
Guilherme Ilário Correr, Ivan Medina, P. C. Azado +2 more·May 3, 2024
While scalable error correction schemes and fault tolerant quantum computing seem not to be universally accessible in the near sight, the efforts of many researchers have been directed to the exploration of the contemporary available quantum hardware...
Strategies for Enhancing Spin-Shuttling Fidelities in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:mi>Si</mml:mi></mml:math> / <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:mi>Si</mml:mi></mml:mat
Merritt P. Losert, Max Oberländer, J. Teske +5 more·May 3, 2024
Coherent coupling between distant qubits is needed for many scalable quantum computing schemes. In quantum dot systems, one proposal for long-distance coupling is to coherently transfer electron spins across a chip in a moving dot potential. Here, we...
Transformer models for quantum gate set tomography
King Yiu Yu, Aritra Sarkar, M. Rimbach-Russ +2 more·May 3, 2024
Quantum computation represents a promising frontier in the domain of high-performance computing, blending quantum information theory with practical applications to overcome the limitations of classical computation. This study investigates the challen...
Strategies for implementing quantum error correction in molecular rotation
Brandon J. Furey, Zhenlin Wu, Mariano Isaza-Monsalve +4 more·May 3, 2024
The rotation of trapped molecules offers a promising platform for quantum technologies and quantum information processing. In parallel, quantum error correction codes that can protect quantum information encoded in rotational states of a single molec...
Evaluation of Advanced Encryption Standard Algorithms for Image Encryption
Abel C. H. Chen·May 3, 2024
With the maturation of quantum computing, traditional cryptography is gradually facing threats. While the Grover algorithm can accelerate search speeds, current observations suggest that symmetric cryptography (such as Advanced Encryption Standard (A...
Error-mitigated photonic quantum circuit Born machine
A. Salavrakos, Tigran Sedrakyan, James Mills +2 more·May 3, 2024
In this Letter, we study quantum circuit Born machines (QCBMs) in the context of photonic quantum computing. QCBMs are a popular choice of quantum generative machine learning models, and we present a QCBM designed for linear optics. We show that a re...
Response of strongly coupled fermions on classical and quantum computers
J. Novak, Manqoba Q. Hlatshwayo, E. Litvinova·May 3, 2024
Studying the response of quantum systems is essential for gaining deeper insights into the fundamental nature of matter and its behavior in diverse physical contexts. Computation of nuclear response is critical for many applications, but its spectros...
Optimal Toffoli-Depth Quantum Adder
Siyi Wang, Ankit Mondal, Anupam Chattopadhyay·May 3, 2024
Efficient quantum arithmetic circuits are commonly found in numerous quantum algorithms of practical significance. To date, the logarithmic-depth quantum adders include a constant coefficient k ≥ 2 while achieving the Toffoli-Depth of k log n + 𝒪(1)...
Vibrational Entanglement through the Lens of Quantum Information Measures
Nina Glaser, Alberto Baiardi, Annina Z. Lieberherr +1 more·May 3, 2024
We introduce a quantum information analysis of vibrational wave functions to understand complex vibrational spectra of molecules with strong anharmonic couplings and vibrational resonances. For this purpose, we define one- and two-modal entropies to ...
Transforming graph states via Bell state measurements
M. C. Löbl, Love A. Pettersson, Stefano Paesani +1 more·May 3, 2024
Graph states are key resources for measurement-based quantum computing, which is particularly promising for photonic systems. Fusions are probabilistic Bell state measurements, measuring pairs of parity operators of two qubits. Fusions can be used to...
Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer
Niclas Schillo, Andreas Sturm·May 3, 2024
The role of differential equations (DEs) in science and engineering is of paramount importance, as they provide the mathematical framework for a multitude of natural phenomena. Since quantum computers promise significant advantages over classical com...
On the Relative Completeness of Satisfaction-based Quantum Hoare Logic
Xin Sun, Xingchi Su, Xiaoning Bian +1 more·May 3, 2024
Quantum Hoare logic (QHL) is a formal verification tool specifically designed to ensure the correctness of quantum programs. There has been an ongoing challenge to achieve a relatively complete satisfaction-based QHL with while-loop since its incepti...
Exponential quantum advantages in learning quantum observables from classical data
Riccardo Molteni, Casper Gyurik, V. Dunjko·May 3, 2024
Quantum computers are believed to bring computational advantages in simulating quantum many body systems. However, recent works have shown that classical machine learning algorithms are able to predict numerous properties of quantum systems with clas...
Multiple quantum exceptional, diabolical, and hybrid points in multimode bosonic systems: II. Nonconventional PT-symmetric dynamics and unidirectional coupling
Jan Peřina, Kishore Thapliyal, Grzegorz Chimczak +2 more·May 2, 2024
We analyze the existence and degeneracies of quantum exceptional, diabolical, and hybrid points in simple bosonic systems - comprising up to six modes with damping and/or amplification - under two complementary scenarios to those described in Quantum...
Multiple quantum exceptional, diabolical, and hybrid points in multimode bosonic systems: I. Inherited and genuine singularities
Kishore Thapliyal, Jan Peřina, Grzegorz Chimczak +2 more·May 2, 2024
The existence and degeneracies of quantum exceptional, diabolical, and hybrid (i.e., diabolically degenerated exceptional) singularities of simple bosonic systems composed of up to five modes with damping and/or amplification are analyzed. Their dyna...
Inverse Current in Coupled Transport: A Quantum Thermodynamic Model
Shuvadip Ghosh, Nikhil Gupt, Arnab Ghosh·May 2, 2024
The recent discovery of inverse current in coupled transport (ICC) in classical systems~\textcolor{blue}{[\textbf{Phys. Rev. Lett.} \textbf{124}, 110607 (2020)]} -- where an induced current flows opposite to two mutually parallel thermodynamic forces...
Efficient Internal Strategies in Quantum Relaxation Based Branch-and-Bound
Hiromichi Matsuyama, Wei-Hao Huang, Kohji Nishimura +1 more·May 2, 2024
A combinatorial optimization problem is to find an optimal combination under the constraints. This is one of the potential applications for quantum computers. Quantum Random Access Optimization (QRAO) is the quantum optimization algorithm that encode...