Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Non-parametric Greedy Optimization of Parametric Quantum Circuits
Koustubh Phalak, Swaroop Ghosh·Jan 27, 2024
The use of Quantum Neural Networks (QNN) that are analogous to classical neural networks, has greatly increased in the past decade owing to the growing interest in the field of Quantum Machine Learning (QML). A QNN consists of three major components:...
Improving Zero-Noise Extrapolation for Quantum-Gate Error Mitigation Using a Noise-Aware Folding Method
Leanghok Hour, Myeongseong Go, Youngsun Han·Jan 23, 2024
Recent hundred-qubit processors represent a significant hardware advancement, but current limitations prevent effective quantum error correction (QEC), necessitating reliance on quantum error mitigation (QEM) to enhance result fidelity from quantum c...
State-Averaged Orbital-Optimized VQE: A quantum algorithm for the democratic description of ground and excited electronic states
Martin Beseda, Silvie Ill'esov'a, Saad Yalouz +1 more·Jan 22, 2024
The electronic structure problem is one of the main problems in modern theoretical chemistry. While there are many already-established methods both for the problem itself and its applications like semi-classical or quantum dynamics, it remains a comp...
Qubit fidelity distribution under stochastic Schrödinger equations driven by classical noise
Robert de Keijzer, Luke Visser, O. Tse +1 more·Jan 22, 2024
Environmental noise affecting controlled quantum systems is typically described by a dissipative Lindblad equation, which captures the system's average state through the density matrix ρ. One approach to deriving this equation involves a stochastic o...
Quantum Architecture Search with Unsupervised Representation Learning
Yize Sun, Zixin Wu, Volker Tresp +1 more·Jan 21, 2024
Unsupervised representation learning presents new opportunities for advancing Quantum Architecture Search (QAS) on Noisy Intermediate-Scale Quantum (NISQ) devices. QAS is designed to optimize quantum circuits for Variational Quantum Algorithms (VQAs)...
A multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method
Melody Lee, Zhixin Song, Sriharsha Kocherla +3 more·Jan 20, 2024
This work proposes a multi-circuit quantum lattice Boltzmann method (QLBM) algorithm that leverages parallel quantum computing to reduce quantum resource requirements. Computational fluid dynamics (CFD) simulations often entail a large computational ...
Thresholds for the distributed surface code in the presence of memory decoherence
Sébastian de Bone, Paul Möller, Conor E. Bradley +2 more·Jan 19, 2024
In the search for scalable, fault-tolerant quantum computing, distributed quantum computers are promising candidates. These systems can be realized in large-scale quantum networks or condensed onto a single chip with closely situated nodes. We presen...
Reconfigurable Intelligent Surface (RIS)-Assisted Entanglement Distribution in FSO Quantum Networks
Mahdi Chehimi, M. Elhattab, Walid Saad +4 more·Jan 19, 2024
Quantum networks (QNs) relying on free-space optical (FSO) quantum channels can support quantum applications in environments wherein establishing an optical fiber infrastructure is challenging and costly. However, FSO-based QNs require a clear line-o...
Coherent Control of the Fine-Structure Qubit in a Single Alkaline-Earth Atom.
Govind Unnikrishnan, Philipp Ilzhofer, Achim Scholz +10 more·Jan 19, 2024
We report on the first realization of a novel neutral atom qubit encoded in the spin-orbit coupled metastable states ^{3}P_{0} and ^{3}P_{2} of a single ^{88}Sr atom trapped in an optical tweezer. Raman coupling of the qubit states promises rapid sin...
Digital-Analog Quantum Computing and Algorithms
Ana Martin·Jan 19, 2024
This Thesis delves into the development and implementation of quantum algorithms using the digital-analog quantum computing (DAQC) paradigm. It provides a comparative analysis of the performance of DAQC versus traditional digital approaches, particul...
Logical Noise Bias in Magic State Injection
Nicholas Fazio, Robin Harper, Stephen D. Bartlett·Jan 19, 2024
Fault-tolerant architectures aim to reduce the noise of a quantum computation. Despite such architectures being well studied a detailed understanding of how noise is transformed in a fault-tolerant primitive such as magic state injection is currently...
Quantum interface for telecom frequency conversion based on diamond-type atomic ensembles
Po-Han Tseng, Linghui Chen, Jiun-Shiuan Shiu +1 more·Jan 18, 2024
In a fiber-based quantum network, utilizing the telecom band is crucial for long-distance quantum information (QI) transmission between quantum nodes. However, the near-infrared wavelength is identified as optimal for processing and storing QI throug...
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms
Jeffrey M. Larson, M. Menickelly, Jiahao Shi·Jan 18, 2024
A key component of variational quantum algorithms (VQAs) is the choice of classical optimizer employed to update the parameterization of an ansatz. It is well recognized that quantum algorithms will, for the foreseeable future, necessarily be run on ...
Dynamic Cooling on Contemporary Quantum Computers
Lindsay Bassman Oftelie, A. De Pasquale, Michele Campisi·Jan 17, 2024
We study the problem of dynamic cooling whereby a target qubit is cooled at the expense of heating up N−1 further identical qubits by means of a global unitary operation. A standard back-of-the-envelope high-temperature estimate establishes that the ...
The Quantum Cryptography Approach: Unleashing the Potential of Quantum Key Reconciliation Protocol for Secure Communication
Neha Sharma, Vikas Saxena·Jan 17, 2024
Quantum cryptography is the study of delivering secret communications across a quantum channel. Recently, Quantum Key Distribution (QKD) has been recognized as the most important breakthrough in quantum cryptography. This process facilitates two dist...
Symmetry breaking in geometric quantum machine learning in the presence of noise
Cenk Tüysüz, Su Yeon Chang, Maria Demidik +3 more·Jan 17, 2024
Geometric quantum machine learning based on equivariant quantum neural networks (EQNNs) recently appeared as a promising direction in quantum machine learning. Despite encouraging progress, studies are still limited to theory, and the role of hardwar...
Elivagar: Efficient Quantum Circuit Search for Classification
Sashwat Anagolum, Narges Alavisamani, Poulami Das +2 more·Jan 17, 2024
Designing performant and noise-robust circuits for Quantum Machine Learning (QML) is challenging --- the design space scales exponentially with circuit size, and there are few well-supported guiding principles for QML circuit design. Although recent ...
Creating and controlling global Greenberger-Horne-Zeilinger entanglement on quantum processors
Ze-Han Bao, Shibo Xu, Zixuan Song +30 more·Jan 16, 2024
Greenberger-Horne-Zeilinger (GHZ) states, also known as two-component Schrödinger cats, play vital roles in the foundation of quantum physics and the potential quantum applications. Enlargement in size and coherent control of GHZ states are both cruc...
Small Quantum Codes from Algebraic Extensions of Generalized Bicycle Codes
Nikolaos Koukoulekidis, IV FedorSimkovic, Martin Leib +1 more·Jan 15, 2024
Quantum error correction is rapidly seeing first experimental implementations, but there is a significant gap between asymptotically optimal error-correcting codes and codes that are experimentally feasible. Quantum LDPC codes range from the surface ...
Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem
P. Singkanipa, V. Kasatkin, Z. Zhou +2 more·Jan 15, 2024
Simon’s problem is to find a hidden period (a bitstring) encoded into an unknown 2-to-1 function. It is one of the earliest problems for which an exponential quantum speedup was proven for ideal, noiseless quantum computers, albeit in the oracle mode...