Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Electronic analogue of Fourier optics with mass-less Dirac fermions scattered by quantum dot lattice
Partha Sarathi Banerjee, Rahul Marathe, Sankalpa Ghosh·Feb 17, 2024
The field of electron optics exploits the analogy between the movement of electrons or charged quasiparticles, primarily in two-dimensional materials subjected to electric and magnetic (EM) fields and the propagation of electromagnetic waves in a die...
Quantum Soft Covering with Relative Entropy Criterion
Xingyi He, S. Sandeep Pradhan·Feb 16, 2024
In this work, we propose a soft covering problem for fully quantum channels using relative entropy as a criterion for operator closeness. We establish covering lemmas by deriving one-shot bounds on the achievable rates in terms of smooth min-entropie...
Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks
K. Zaman, Tasnim Ahmed, Muhammad Kashif +3 more·Feb 16, 2024
In current noisy intermediate-scale quantum devices, hybrid quantum-classical neural networks (HQNNs) represent a promising solution that combines the strengths of classical machine learning with quantum computing capabilities. Compared to classical ...
Leveraging junk information to enhance the quantum error mitigation
Ruixia Wang, Xiaosi Xu, F. Yan +4 more·Feb 16, 2024
Noise in quantum information processing poses a significant obstacle to achieving precise results. Quantum error mitigation techniques are crucial for improving the accuracy of experimental expectation values in this process. In the experiments, it i...
Q-Embroidery: A Study on Weaving Quantum Error Correction into the Fabric of Quantum Classifiers
Avimita Chatterjee, Debarshi Kundu, Swaroop Ghosh·Feb 16, 2024
Quantum computing holds transformative potential for various fields, yet its practical application is hindered by the susceptibility to errors. This study makes a pioneering contribution by applying quantum error correction codes (QECCs) for complex,...
MITS: A Quantum Sorcerer’s Stone for Designing Surface Codes
Avimita Chatterjee, Debarshi Kundu, Swaroop Ghosh·Feb 16, 2024
In the evolving field of quantum computing, optimizing Quantum Error Correction (QEC) parameters is crucial due to the varying types and amounts of physical noise across quantum computers. Traditional simulators use a forward paradigm to derive logic...
TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer
Cheng Chu, Zhenxiao Fu, Yilun Xu +4 more·Feb 16, 2024
Trapped-Ion (TI) technology offers potential breakthroughs for Noisy Intermediate Scale Quantum (NISQ) computing. TI qubits offer extended coherence times and high gate fidelity, making them appealing for large-scale NISQ computers. Constructing such...
Noncollinear first-principles studies of the spin-electric coupling in frustrated triangular molecular magnets
M. F. Islam, K. Withanage, C. M. Canali +1 more·Feb 16, 2024
Frustrated triangular molecular magnets (MMs) with anti-ferromagnetic ground states (GS) are an important class of magnetic systems with potential applications in quantum information processing. The two-fold degenerate GS of these molecules, characte...
Magic Mirror on the Wall, How to Benchmark Quantum Error Correction Codes, Overall?
Avimita Chatterjee, Swaroop Ghosh·Feb 16, 2024
Quantum Error Correction Codes (QECCs) are pivotal in advancing quantum computing by protecting quantum states against the adverse effects of noise and errors. With a variety of QECCs developed, including new developments and modifications of existin...
Neural-network quantum states for many-body physics
Matija Medvidović, Javier Robledo Moreno·Feb 16, 2024
Variational quantum calculations have borrowed many tools and algorithms from the machine learning community in the recent years. Leveraging great expressive power and efficient gradient-based optimization, researchers have shown that trial states in...
Covering a Graph with Minimal Local Sets
Nathan Claudet, S. Perdrix·Feb 16, 2024
Local sets, a graph structure invariant under local complementation, have been originally introduced in the context of quantum computing for the study of quantum entanglement within the so-called graph state formalism. A local set in a graph is made ...
A Comparative Analysis of Hybrid-Quantum Classical Neural Networks
K. Zaman, Tasnim Ahmed, M. Hanif +2 more·Feb 16, 2024
Hybrid Quantum-Classical Machine Learning (ML) is an emerging field, amalgamating the strengths of both classical neural networks and quantum variational circuits on the current noisy intermediate-scale quantum devices. This paper performs an extensi...
The simulation of distributed quantum algorithms
Sreraman Muralidharan·Feb 16, 2024
Distributed quantum computing (DQC) provides a way to scale quantum computers using multiple quantum processing units (QPU) connected through quantum communication links. In this paper, we have built a distributed quantum computing simulator and used...
Universal Quantum Computing with Field-Mediated Unruh--DeWitt Qubits
Eric W. Aspling, Michael J. Lawler·Feb 15, 2024
A set of universal quantum gates is a vital part of the theory of quantum computing, but is absent in the developing theory of Relativistic Quantum Information (RQI). Yet, the Unruh--DeWitt (UDW) detector formalism can be elevated to unitary gates be...
Quantum algorithm for bioinformatics to compute the similarity between proteins
Anthony Chagneau, Yousra Massaoudi, Imene Derbali +1 more·Feb 15, 2024
Drug discovery has become a main challenge in the society, following the COVID‐19 pandemic. However, pharmaceutical companies are already using computing to accelerate drug discovery and are increasingly interested in quantum computing (QC), with a v...
Quantum option pricing via the Karhunen-Lo\`{e}ve expansion
A. Prakash, Yue Sun, Shouvanik Chakrabarti +8 more·Feb 15, 2024
We consider the problem of pricing discretely monitored Asian options over $T$ monitoring points where the underlying asset is modeled by a geometric Brownian motion. We provide two quantum algorithms with complexity poly-logarithmic in $T$ and polyn...
Towards Federated Learning on the Quantum Internet
Leo Sünkel, Michael Kölle, Tobias Rohe +1 more·Feb 15, 2024
While the majority of focus in quantum computing has so far been on monolithic quantum systems, quantum communication networks and the quantum internet in particular are increasingly receiving attention from researchers and industry alike. The quantu...
Quantum Automating TC0-Frege Is LWE-Hard
Noel Arteche, Gaia Carenini, Matthew Gray·Feb 15, 2024
We prove the first hardness results against efficient proof search by quantum algorithms. We show that under Learning with Errors (LWE), the standard lattice-based cryptographic assumption, no quantum algorithm can weakly automate TC0\documentclass[1...
Trainability Barriers in Low-Depth QAOA Landscapes
Joel Rajakumar, John K. Golden, Andreas Bärtschi +1 more·Feb 15, 2024
The Quantum Alternating Operator Ansatz (QAOA) is a prominent variational quantum algorithm for solving combinatorial optimization problems. Its effectiveness depends on identifying input parameters that yield high-quality solutions. However, underst...
Linear Depth QFT over IBM Heavy-hex Architecture
Xiangyu Gao, Yuwei Jin, Minghao Guo +2 more·Feb 15, 2024
Compiling a given quantum algorithm into a target hardware architecture is a challenging optimization problem. The compiler must take into consideration the coupling graph of physical qubits and the gate operation dependencies. The existing noise in ...