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 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...
Homological Quantum Error Correction with Torsion
Samo Nov'ak·May 6, 2024
Homological quantum error correction uses tools of algebraic topology and homological algebra to derive Calderbank-Shor-Steane quantum error correcting codes from cellulations of topological spaces. This work is an exploration of the relevant topics,...
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...
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 ...
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...
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...
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...
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...
Driven multiphoton qubit-resonator interactions
M. Ayyash, Xicheng Xu, S. Ashhab +1 more·May 2, 2024
We develop a general theory for multiphoton qubit-resonator interactions enhanced by a qubit drive. The interactions generate qubit-conditional operations in the resonator when the driving is near $n$-photon cross-resonance, namely, the qubit drive i...
Experimental aspects of indefinite causal order in quantum mechanics
L. Rozema, T. Strömberg, Huan Cao +3 more·May 1, 2024
In the past decade, the toolkit of quantum information has been expanded to include processes in which the basic operations do not have definite causal relations. Originally considered in the context of the unification of quantum mechanics and genera...
Revealing the working mechanism of quantum neural networks by mutual information
Xin Zhang, Yuexian Hou·Apr 30, 2024
Quantum neural networks (QNNs) is a parameterized quantum circuit model, which can be trained by gradient-based optimizer, can be used for supervised learning, regression tasks, combinatorial optimization, etc. Although many works have demonstrated t...
Fast Quantum Process Tomography via Riemannian Gradient Descent
Daniel Volya, Andrey Nikitin, Prabhat Mishra·Apr 29, 2024
Constrained optimization plays a crucial role in the fields of quantum physics and quantum information science and becomes especially challenging for high-dimensional complex structure problems. One specific issue is that of quantum process tomograph...
A diverse set of two-qubit gates for spin qubits in semiconductor quantum dots
M. Ni, Rong-Long Ma, Zhen-Zhen Kong +11 more·Apr 29, 2024
To realize large-scale quantum information processes, an ideal scheme for two-qubit operations should enable diverse operations with given hardware and physical interaction. However, for spin qubits in semiconductor quantum dots, the common two-qubit...
How to surpass no-go limits in Gaussian quantum error correction and entangled Gaussian state distillation?
En-Jui Chang, Ching-Yi Lai·Apr 29, 2024
Gaussian quantum information processing with continuous-variable (CV) quantum information carriers holds significant promise for applications in quantum communication and quantum internet. However, applying Gaussian state distillation and quantum err...
Variational optimization for quantum problems using deep generative networks
Lingxia Zhang, Xiaodie Lin, Peidong Wang +4 more·Apr 28, 2024
Optimization drives advances in quantum science and machine learning, yet most generative models aim to mimic data rather than to discover optimal answers to challenging problems. Here we present a variational generative optimization network that lea...
A quantum annealing approach to the minimum distance problem of quantum codes
Refat Ismail, Ashish Kakkar, A. Dymarsky·Apr 26, 2024
Quantum error-correcting codes (QECCs) is at the heart of fault-tolerant quantum computing. As the size of quantum platforms is expected to grow, one of the open questions is to design new optimal codes of ever-increasing size. A related challenge is...
Programmable Photonic Quantum Circuits with Ultrafast Time-Bin Encoding.
Frédéric Bouchard, Kate L. Fenwick, K. Bonsma-Fisher +4 more·Apr 26, 2024
We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric networks at ...
Minimizing the Number of Teleportations in Distributed Quantum Computing Using Alloy
Ali Ebnenasir, Kieran Young·Apr 24, 2024
This paper presents a novel approach for minimizing the number of teleportations in Distributed Quantum Computing (DQC) using formal methods. Quantum teleportation plays a major role in communicating quantum information. As such, it is desirable to p...
Optimized mechanical quadrature squeezing beyond the 3-dB limit via a gradient-descent algorithm
Yu-Hong Liu, Jie-Qiao Liao·Apr 21, 2024
The preparation of mechanical quadrature-squeezed states holds significant importance in cavity optomechanics because the squeezed states have extensive applications in understanding fundamental quantum mechanics and exploiting modern quantum technol...
Nanomechanical ancilla qubits generator for error correction algorithms in quantum computation
D. Radi'c, L. Gorelik, S. Kulinich +1 more·Apr 20, 2024
We suggest a nanoelectromechanical setup that generates properly entangled ancillary ("ancilla") qubits for error correction algorithms in quantum computing, demonstrated as an encoder for the three-qubit bit flip code. The setup is based on mesoscop...