Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
Shamminuj Aktar, Andreas Bartschi, Diane Oyen +2 more·May 9, 2024
Parameterized quantum circuits (PQCs) are fundamental to quantum machine learning (QML), quantum optimization, and variational quantum algorithms (VQAs). The expressibility of PQCs is a measure that determines their capability to harness the full pot...
High-coherence fluxonium qubits manufactured with a wafer-scale-uniformity process
Fei Wang, Kannan Lu, Huijuan Zhan +32 more·May 9, 2024
Fluxonium qubits are recognized for their high coherence times and high operation fidelities. These are attributed to their unique design incorporating a superinductor, which is typically implemented using an array of over 100 Josephson junctions; ho...
Characterizing high-dimensional multipartite entanglement beyond Greenberger-Horne-Zeilinger fidelities
Shuheng Liu, Qiongyi He, Marcus Huber +1 more·May 6, 2024
Characterizing entanglement of systems composed of multiple particles is a very complex problem that is attracting increasing attention across different disciplines related to quantum physics. The task becomes even more complex when the particles hav...
Mitigating errors in logical qubits
Samuel C. Smith, Benjamin J. Brown, Stephen D. Bartlett·May 6, 2024
Quantum error correcting codes can enable large quantum computations provided physical error rates are sufficiently low. We combine post-selection with surface code error correction through the use of exclusive decoders, which abort on decoding insta...
Near-Optimal Decoding Algorithm for Color Codes Using Population Annealing
Fernando Martínez García, Francisco Revson F. Pereira, Pedro Parrado-Rodr'iguez·May 6, 2024
The development and use of large-scale quantum computers relies on integrating quantum error-correcting (QEC) schemes into the quantum computing pipeline. A fundamental part of the QEC protocol is the decoding of the syndrome to identify a recovery o...
Logical Error Rates for a [[4,2,2]]-Encoded Variational Quantum Eigensolver Ansatz
Meenambika Gowrishankar, Daniel Claudino, Jerimiah Wright +1 more·May 5, 2024
Quantum computing offers a potential for algorithmic speedups for applications, such as large-scale simulations in chemistry and physics. However, these speedups must yield results that are sufficiently accurate to predict realistic outcomes of exper...
A Greedy Quantum Route-Generation Algorithm
Jordan Makansi, David E. Bernal Neira·May 5, 2024
Routing and scheduling problems with time windows have long been important optimization problems for logistics and planning. Many classical heuristics and exact methods exist for such problems. However, there are no satisfactory methods for generatin...
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...
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...
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...
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...
Distribution of Non-Locality On Quantum Random Circuits
A. Arango, F. Holik, R. Giuntini +2 more·May 2, 2024
In this work we explore how different types of resources are distributed among the states generated by quantum random circuits (QRC). We focus on multipartite non-locality, but we also analyze quantum correlations by appealing to different entangleme...
Quantum Machine Learning: Quantum Kernel Methods
S. Naguleswaran·May 2, 2024
Quantum algorithms based on quantum kernel methods have been investigated previously [1]. A quantum advantage is derived from the fact that it is possible to construct a family of datasets for which, only quantum processing can recognise the intrinsi...
Barren plateaus in variational quantum computing
Martín Larocca, Supanut Thanasilp, Samson Wang +7 more·May 1, 2024
Variational quantum computing offers a flexible computational approach with a broad range of applications. However, a key obstacle to realizing their potential is the barren plateau (BP) phenomenon. When a model exhibits a BP, its parameter optimizat...
Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut
Xinwei Lee, Xinjian Yan, Ningyi Xie +5 more·Apr 30, 2024
Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. W...
Demonstration of system-bath physics on a gate-based quantum computer
Pascal Stadler, Matteo Lodi, A. Khedri +5 more·Apr 29, 2024
Algorithmic cooling can be used to find correlated states of many-body quantum systems. It is based on quantum circuits that perform nonunitary operations, whose implementation can be challenging on near-term quantum computers. In this work we develo...
Classical Post-processing for Unitary Block Optimization Scheme to Reduce the Effect of Noise on Optimization of Variational Quantum Eigensolvers
Xiaochuan Ding, Bryan K. Clark·Apr 29, 2024
Variational Quantum Eigensolvers (VQE) are a promising approach for finding the classically intractable ground state of a Hamiltonian. The Unitary Block Optimization Scheme (UBOS) is a state-of-the-art VQE method which works by sweeping over gates an...
Low-overhead defect-adaptive surface code with bandage-like super-stabilizers
Zuolin Wei, Tan He, Y. Ye +7 more·Apr 29, 2024
To make practical quantum algorithms work, large-scale quantum processors protected by error-correcting codes are required to resist noise and ensure reliable computational outcomes. However, a major challenge arises from defects in processor fabrica...