Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,522 papers in 12 months (-19% vs prior quarter)
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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 ...
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...
Single-qubit reaped quantum state tomography
Mahn‐Soo Choi·Jun 20, 2022
Quantum state tomography is the experimental procedure of determining an unknown state. It is not only essential for the verification of resources and processors of quantum information but is also important in its own right with regard to the foundat...
Concentration of Data Encoding in Parameterized Quantum Circuits
Guangxi Li, Ruilin Ye, Xuanqiang Zhao +1 more·Jun 16, 2022
Variational quantum algorithms have been acknowledged as a leading strategy to realize near-term quantum advantages in meaningful tasks, including machine learning and combinatorial optimization. When applied to tasks involving classical data, such a...
Steered quantum annealing: improving time efficiency with partial information
Ana de Luis, A. García-Sáez, M. Estarellas·Jun 15, 2022
In the computational model of quantum annealing, the size of the minimum gap between the ground state and the first excited state of the system is of particular importance, since it is inversely proportional to the running time of the algorithm. Thus,...
High-fidelity qutrit entangling gates for superconducting circuits
Noah Goss, A. Morvan, Brett Marinelli +9 more·Jun 15, 2022
Ternary quantum information processing in superconducting devices poses a promising alternative to its more popular binary counterpart through larger, more connected computational spaces and proposed advantages in quantum simulation and error correct...
The learnability of Pauli noise
Senrui Chen, Yunchao Liu, M. Otten +3 more·Jun 13, 2022
Recently, several quantum benchmarking algorithms have been developed to characterize noisy quantum gates on today’s quantum devices. A fundamental issue in benchmarking is that not everything about quantum noise is learnable due to the existence of ...
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
Faris M. Sbahi, Antonio J. Martinez, Sahil Patel +4 more·Jun 9, 2022
The dual tasks of quantum Hamiltonian learning and quantum Gibbs sampling are relevant to many important problems in physics and chemistry. In the low temperature regime, algorithms for these tasks often suffer from intractabilities, for example from...
Emergence of Spinmerism for Molecular Spin-Qubits Generation.
Pablo Roseiro, Louis Petit, Vincent Robert +1 more·Jun 8, 2022
Molecular platforms are regarded as promising candidates in the generation of units of information for quantum computing. Herein, a strategy combining spin-crossover metal ions and radical ligands is proposed from a model Hamiltonian first restricted...
Exploring Accurate Potential Energy Surfaces via Integrating Variational Quantum Eigensolver with Machine Learning.
Yanxian Tao, Xiongzhi Zeng, Yi Fan +3 more·Jun 8, 2022
The potential energy surface (PES) is crucial for interpreting a variety of chemical reaction processes. However, predicting accurate PESs with high-level electronic structure methods is a challenging task due to the high computational cost. As an ap...
Resource Reduction in Multiplexed High-Dimensional Quantum Reed-Solomon Codes
S. Nishio, N. Piparo, M. Hanks +2 more·Jun 8, 2022
Quantum communication technologies will play an important role in quantum information processing in the near future as we network devices together. However, their implementation is still a challenging task due to both loss and gate errors. Quantum er...
Iterative optimization in quantum metrology and entanglement theory using semidefinite programming
Árpád Lukács, Róbert Trényi, Tamás Vértesi +1 more·Jun 6, 2022
We discuss efficient methods to optimize the metrological performance over local Hamiltonians in a bipartite quantum system. For a given quantum state, our methods find the best local Hamiltonian for which the state outperforms separable states the m...
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...
Authentication of quantum key distribution with post-quantum cryptography and replay attacks
Liu-Jun Wang, You Zhou, Jianfeng Yin +1 more·Jun 2, 2022
With the development of quantum computers, traditional cryptographic systems are facing more and more serious security threats. Fortunately, quantum key distribution (QKD) and post-quantum cryptography (PQC) are two cryptographic mechanisms with quan...
Design and Simulation of an Autonomous Quantum Flying Robot Vehicle: An IBM Quantum Experience
Sudev Pradhan, Anshuman Padhi, B. Behera·Jun 1, 2022
The application of quantum computation and information in robotics has caught the attention of researchers off late. The field of robotics has always put its effort on the minimization of the space occupied by the robot, and on making the robot `smar...
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...
Experimental Single-Setting Quantum State Tomography
R. Stricker, M. Meth, L. Postler +7 more·May 31, 2022
Quantum computers solve ever more complex tasks using steadily growing system sizes. Characterizing these quantum systems is vital, yet becoming increasingly challenging. The gold-standard is quantum state tomography (QST), capable of fully reconstru...
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...
Estimation of the geometric measure of entanglement with Wehrl moments through artificial neural networks
J'erome Denis, F. Damanet, John Martin·May 30, 2022
In recent years, artificial neural networks (ANNs) have become an increasingly popular tool for studying problems in quantum theory, and in particular entanglement theory. In this work, we analyse to what extent ANNs can accurately predict the geomet...