Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Single-step implementation of a hybrid controlled-not gate with one superconducting qubit simultaneously controlling multiple target cat-state qubits
Qi-Ping Su, Yu Zhang, Chuiping Yang·Jun 21, 2022
Hybrid quantum gates have recently drawn considerable attention. They play significant roles in connecting quantum information processors with qubits of different encoding and have important applications in the transmission of quantum states between ...
Quantum computing quantum Monte Carlo
Yukun Zhang, Yifei Huang, Jinzhao Sun +2 more·Jun 21, 2022
Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we propose a hybrid quantum-classical algorithm that integrates these two...
Cooperative quantum information erasure
L. Buffoni, M. Campisi·Jun 21, 2022
We demonstrate an information erasure protocol that resets N qubits at once. The method displays exceptional performances in terms of energy cost (it operates nearly at Landauer energy cost kTln2), time duration (∼μs) and erasure success rate (∼99,9...
Quantum AI simulator using a hybrid CPU–FPGA approach
Teppei Suzuki, Tsubasa Miyazaki, Toshiki Inaritai +1 more·Jun 20, 2022
The quantum kernel method has attracted considerable attention in the field of quantum machine learning. However, exploring the applicability of quantum kernels in more realistic settings has been hindered by the number of physical qubits current noi...
Superconducting routing platform for large-scale integration of quantum technologies
C. Thomas, J. Michel, E. Deschaseaux +14 more·Jun 20, 2022
To reach large-scale quantum computing, three-dimensional integration of scalable qubit arrays and their control electronics in multi-chip assemblies is promising. Within these assemblies, the use of superconducting interconnections, as routing lay...
Quantum Circuit Optimization and Transpilation via Parameterized Circuit Instantiation
Ed Younis, Costin Iancu·Jun 16, 2022
Parameterized circuit instantiation is a common technique encountered in the generation of circuits for a large class of hybrid quantum-classical algorithms. Despite being supported by popular quantum compilation infrastructures such as IBM Qiskit an...
Simulating adiabatic quantum computing with parameterized quantum circuits
Ioannis Kolotouros, Ioannis Petrongonas, Miloš Prokop +1 more·Jun 9, 2022
Adiabatic quantum computing is a universal model for quantum computing whose implementation using a gate-based quantum computer requires depths that are unreachable in the early fault-tolerant era. To mitigate the limitations of near-term devices, a ...
Predict better with less training data using a QNN
Barry D. Reese, M. Kowalik, Christian Metzl +2 more·Jun 8, 2022
Over the past decade, machine learning revolutionized vision-based quality assessment for which convolutional neural networks (CNNs) have now become the standard. In this paper, we consider a potential next step in this development and describe a qua...
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
M. Schuetz, J. K. Brubaker, H. Montagu +6 more·Jun 8, 2022
We solve robot trajectory planning problems at industry-relevant scales. Our end-to-end solution integrates highly versatile random-key algorithms with model stacking and ensemble techniques, as well as path relinking for solution refinement. The cor...
Hybrid simplification rules for boundaries of quantum circuits
M. Epping·Jun 7, 2022
We describe rules to simplify quantum circuits at their boundaries, i.e. at state preparation and measurement. There, any strictly incoherent operation may be pushed into a preor post-processing of classical data. The rules can greatly simplify the i...
Fourier-based quantum signal processing
T. L. Silva, Lucas Borges, L. Aolita·Jun 6, 2022
Implementing general functions of operators is a powerful tool in quantum computation. It can be used as the basis for a variety of quantum algorithms including matrix inversion, real and imaginary-time evolution, and matrix powers. Quantum signal pr...
Variational approach to quantum state tomography based on maximal entropy formalism.
Rishabh Gupta, M. Sajjan, R. Levine +1 more·Jun 6, 2022
Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices. One of the central tasks in the field of state tomography is to reconstruct, with high fidelity, the quan...
A Hybrid Quantum-Classical CFD Methodology with Benchmark HHL Solutions
L. Lapworth·Jun 1, 2022
There has been significant progress in the development of quantum algorithms for solving linear systems of equations with a growing body of applications to Computational Fluid Dynamics (CFD) and CFD-like problems. This work extends previous work by de...
Hard superconducting gap in germanium
A. Tosato, V. Levajac, Ji-Yin Wang +9 more·Jun 1, 2022
The co-integration of spin, superconducting, and topological systems is emerging as an exciting pathway for scalable and high-fidelity quantum information technology. High-mobility planar germanium is a front-runner semiconductor for building quantum...
Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning
Yuanfu Yang, Min Sun·Jun 1, 2022
With the rapid development of artificial intelligence and autonomous driving technology, the demand for semiconductors is projected to rise substantially. However, the massive expansion of semiconductor manufacturing and the development of new techno...
Quantum Annealing Sampling with a Bias Field
T. Grass·May 31, 2022
The presence of a bias field, encoding some information about the target state, can enhance the performance of quantum optimization methods. Here we investigate the effect of such a bias field on the outcome of quantum annealing sampling, at the example...
Towards near-term quantum simulation of materials
Laura Clinton, T. Cubitt, Brian Flynn +6 more·May 30, 2022
Determining the ground and excited state properties of materials is considered one of the most promising applications of quantum computers. On near-term hardware, the limiting constraint on such simulations is the requisite circuit depths and qubit n...
Quantum-assisted Monte Carlo algorithms for fermions
Xiaosi Xu, Ying Li·May 30, 2022
Quantum computing is a promising way to systematically solve the longstanding computational problem, the ground state of a many-body fermion system. Many efforts have been made to realise certain forms of quantum advantage in this problem, for instan...
Effect of matrix sparsity and quantum noise on quantum random walk linear solvers
Benwei Wu, Hrushikesh Patil, P. Krstic·May 27, 2022
We study the effects of quantum noise in hybrid quantum-classical solver for sparse systems of linear equations using quantum random walks, applied to stoquastic Hamiltonian matrices. In an ideal noiseless quantum computer, sparse matrices achieve so...
QSpeech: Low-Qubit Quantum Speech Application Toolkit
Zhenhou Hong, Jianzong Wang, Xiaoyang Qu +3 more·May 26, 2022
Quantum devices with low qubits are common in the Noisy Intermediate-Scale Quantum (NISQ) era. However, Quantum Neural Network (QNN) running on low-qubit quantum devices would be difficult since it is based on Variational Quantum Circuit (VQC), which...