Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Machine Learning and Quantum Intelligence for Health Data Scenarios
S. Naguleswaran·Oct 28, 2024
The advent of quantum computing has opened new possibilities in data science, offering unique capabilities for addressing complex, data-intensive problems. Traditional machine learning algorithms often face challenges in high-dimensional or limited-q...
Simulating NMR Spectra with a Quantum Computer
Joaqu'in Ossorio-Castillo, Alexandre Rodr'iguez-Coello·Oct 28, 2024
The procedure for simulating the nuclear magnetic resonance spectrum linked to the spin system of a molecule for a certain nucleus entails diagonalizing the associated Hamiltonian matrix. As the dimensions of said matrix grow exponentially with respe...
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
Nico Meyer, Julian Berberich, Christopher Mutschler +1 more·Oct 28, 2024
Quantum machine learning leverages quantum computing to enhance accuracy and reduce model complexity compared to classical approaches, promising significant advancements in various fields. Within this domain, quantum reinforcement learning has garner...
Quantum channel coding: Approximation algorithms and strong converse exponents
Aadil Oufkir, Mario Berta·Oct 28, 2024
We study relaxations of entanglement-assisted quantum channel coding and establish that non-signaling assistance and a natural semi-definite programming relaxation — termed meta-converse — are equivalent in terms of success probabilities. We then pre...
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness
Xiang Wei, Ziqing Zhu, Linghua Zhu +5 more·Oct 28, 2024
Unit commitment (UC) optimizes the start-up and shutdown schedules of generating units to meet load demand while minimizing costs. However, the increasing integration of renewable energy introduces uncertainties for real-time scheduling. Existing sol...
Pseudochaotic many-body dynamics as a pseudorandom state generator
Wonjun Lee, Hyukjoon Kwon, Gil Young Cho·Oct 28, 2024
Quantum chaos is central to understanding quantum dynamics and is crucial for generating random quantum states, a key resource for quantum information tasks. In this work, we introduce a new class of quantum many-body dynamics, termed pseudochaotic d...
Sample-Optimal Quantum Estimators for Pure-State Trace Distance and Fidelity via Samplizer
Qisheng Wang, Zhicheng Zhang·Oct 28, 2024
Trace distance and infidelity (induced by square root fidelity), as basic measures of the closeness of quantum states, are commonly used in quantum state discrimination, certification, and tomography. However, the sample complexity for their estimati...
Stabilizer configuration interaction: Finding molecular subspaces with error detection properties
Abhinav Anand, Kenneth R. Brown·Oct 28, 2024
In this work, we explore a new approach to designing both algorithms and error detection codes for preparing approximate ground states of molecules. We propose a classical algorithm to find the optimal stabilizer state by using excitations of the Har...
Bidirectional quantum teleportation using quantum walks
A. S. Abay Krishna, K. K. Naseeda, N. C. Randeep·Oct 27, 2024
We present a method for bidirectional teleportation of a single qubit using quantum walks on two independent one dimensional lattices and two independent cycles with four vertices, employing nearest neighbor jumps with coin outcomes. In addition, we ...
Decoding Quasi-Cyclic Quantum LDPC Codes
Louis Golowich, V. Guruswami·Oct 27, 2024
Quantum low-density parity-check (qLDPC) codes are an important component in the quest for quantum fault tolerance. Dramatic recent progress on qLDPC codes has led to constructions which are asymptotically good, and which admit linear-time decoders t...
Quantum Annealing for Active User Detection in NOMA Systems
Romain Piron, C. Goursaud·Oct 27, 2024
Detecting active users in a non-orthogonal multiple access (NOMA) network poses a significant challenge for 5G/6G applications. Traditional algorithms tackling this task, relying on classical processors, have to make a compromise between performance ...
Characterization of Noise using variants of Unitarity Randomized Benchmarking
A. Chandrashekar, Soumya Das, Goutam Paul·Oct 27, 2024
Benchmarking of noise that is induced during the implementation of quantum gates is the main concern for practical quantum computers. Several protocols have been proposed that empirically calculate various metrics that quantify the error rates of the...
Fidelity preserving and decoherence for mixed unitary quantum channels
Kai Liu, Deguang Han·Oct 26, 2024
Distinguishable and non-distinguishable quantum states are fundamental resources in quantum mechanics and quantum technologies. Interactions with the environment often induce decoherence, impacting both the distinguishability and non-distinguishabili...
Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading
Avinash Maurya, Jie Ye, M. Mustafa Rafique +2 more·Oct 26, 2024
Transformers and large language models~(LLMs) have seen rapid adoption in all domains. Their sizes have exploded to hundreds of billions of parameters and keep increasing. Under these circumstances, the training of transformers is very expensive and ...
Characterization of n-Dimensional Toric and Burst-Error-Correcting Quantum Codes from Lattice Codes
C. C. Trinca, Reginaldo Palazzo, J. Interlando +4 more·Oct 26, 2024
Quantum error correction is essential for the development of any scalable quantum computer. In this work we introduce a generalization of a quantum interleaving method for combating clusters of errors in toric quantum error-correcting codes. We prese...
Experimental Verification of Bell‐Type Inequalities Using Four‐Qubit Dicke States on Quantum Processors
Tomis Prajapati, Harsh Mehta, Shreya Banerjee +2 more·Oct 26, 2024
Testing for a violation of Bell‐type inequalities provides a standard approach to investigating nonlocal correlations in nonclassical (entangled) states. In this study, a custom measurement operator composed of a linear combination of Pauli matrices ...
Efficient frequency allocation for superconducting quantum processors using improved optimization techniques
Zewen Zhang, P. Gokhale, Jeffrey M. Larson·Oct 26, 2024
Building on previous research on frequency allocation optimization for superconducting circuit quantum processors, this work incorporates several new techniques to improve overall solution quality. New features include tightening constraints, imposin...
Method for noise-induced regularization in quantum neural networks
Viacheslav Kuzmin, Wilfrid Somogyi, Ekaterina Pankovets +1 more·Oct 25, 2024
In the current quantum computing paradigm, significant focus is placed on the reduction or mitigation of quantum decoherence. When designing new quantum processing units, the general objective is to reduce the amount of noise qubits are subject to, a...
General, efficient, and robust Hamiltonian engineering
Pascal Baßler, Markus Heinrich, Martin Kliesch·Oct 25, 2024
Implementing the time evolution under a desired target Hamiltonian is critical for various applications in quantum science. Due to the exponential increase in the number of parameters with system size and experimental imperfections, this task can be ...
The product structure of MPS-under-permutations
Marta Florido-Llinàs, Álvaro M. Alhambra, Rahul Trivedi +3 more·Oct 25, 2024
Tensor network methods have proved to be highly effective in addressing a wide variety of physical scenarios, including those lacking an intrinsic one-dimensional geometry. In such contexts, it is possible for the problem to exhibit a weak form of pe...