Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,509 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Generalized Quantum Subspace Expansion.
N. Yoshioka, H. Hakoshima, Y. Matsuzaki +3 more·Jul 6, 2021
One of the major challenges for erroneous quantum computers is undoubtedly the control over the effect of noise. Considering the rapid growth of available quantum resources that are not fully fault tolerant, it is crucial to develop practical hardwar...
Optimal metrology with programmable quantum sensors
Christian D. Marciniak, T. Feldker, Ivan Pogorelov +7 more·Jul 5, 2021
Quantum sensors are an established technology that has created new opportunities for precision sensing across the breadth of science. Using entanglement for quantum enhancement will allow us to construct the next generation of sensors that can approa...
Quantum Error Mitigation Relying on Permutation Filtering
Yifeng Xiong, S. Ng, L. Hanzo·Jul 3, 2021
Quantum error mitigation (QEM) is a class of promising techniques capable of reducing the computational error of variational quantum algorithms tailored for current noisy intermediate-scale quantum computers. The recently proposed permutation-based m...
Qubit-Based Clock Synchronization for QKD Systems Using a Bayesian Approach
Roderick D. Cochran, D. Gauthier·Jul 2, 2021
Quantum key distribution (QKD) systems provide a method for two users to exchange a provably secure key. Synchronizing the users’ clocks is an essential step before a secure key can be distilled. Qubit-based synchronization protocols directly use the...
On-Demand Storage and Retrieval of Microwave Photons Using a Superconducting Multiresonator Quantum Memory.
Zenghui Bao, Zhiling Wang, Yukai Wu +5 more·Jul 1, 2021
We realize on-demand storage and retrieval of weak coherent microwave photon pulses at the single-photon level. A superconducting multiresonator system which is composed of a set of frequency-tunable coplanar waveguide resonators is implemented as th...
Quantum simulation of operator spreading in the chaotic Ising model.
M. Geller, A. Arrasmith, Zoe Holmes +3 more·Jun 30, 2021
There is great interest in using near-term quantum computers to simulate and study foundational problems in quantum mechanics and quantum information science, such as the scrambling measured by an out-of-time-ordered correlator (OTOC). Here we use an...
Variational secure cloud quantum computing
Yuta Shingu, Yuki Takeuchi, Suguru Endo +5 more·Jun 30, 2021
Variational quantum algorithms (VQAs) have been considered to be useful applications of noisy intermediate-scale quantum (NISQ) devices. Typically, in the VQAs, a parametrized ansatz circuit is used to generate a trial wave function, and the paramete...
Predicting quantum dynamical cost landscapes with deep learning
Mogens Dalgaard, F. Motzoi, J. Sherson·Jun 30, 2021
State-of-the-art quantum algorithms routinely tune dynamically parametrized cost functionals for combinatorics, machine learning, equation-solving, or energy minimization. However, large search complexity often demands many (noisy) quantum measuremen...
QuantumSkynet: A High-Dimensional Quantum Computing Simulator
Andres Giraldo-Carvajal, Daniel A. Duque-Ramirez, J. Jaramillo-Villegas·Jun 30, 2021
The use of classical computers to simulate quantum computing has been successful in aiding the study of quantum algorithms and circuits that are too complex to examine analytically. Current implementations of quantum computing simulators are limited ...
Recovery algorithms for Clifford Hayden-Preskill problem
B. Yoshida·Jun 29, 2021
The Hayden-Preskill recovery problem has provided useful insights on physics of quantum black holes as well as dynamics in quantum many-body systems from the viewpoint of quantum errorcorrecting codes. While finding an efficient universal information...
On Exploring the Potential of Quantum Auto-Encoder for Learning Quantum Systems
Yuxuan Du, D. Tao·Jun 29, 2021
The frequent interactions between quantum computing and machine learning revolutionize both fields. One prototypical achievement is the quantum auto-encoder (QAE), as the leading strategy to relieve the curse of dimensionality ubiquitous in the quant...
Low-symmetry nanophotonics
A. Krasnok, Andrea Al'u·Jun 29, 2021
Photonics and optoelectronics are at the foundations of widespread technologies, from high-speed Internet to systems for artificial intelligence, automotive LiDAR, and optical quantum computing. Light enables ultrafast speeds and low energy for all-o...
Generalizing Syndrome Decoding problem to the totally Non-negative Grassmannian
K. Emerole·Jun 29, 2021
The syndrome decoding problem has been proposed as a computational hardness assumption for code based cryptosystem that are safe against quantum computing. The problem has been reduced to finding the codeword with the smallest non-zero columns that w...
Strain induced coupling and quantum information processing with hexagonal boron nitride quantum emitters
Fatemeh Tarighitabesh, Q. Hassanzada, M. Hadian +3 more·Jun 29, 2021
We propose an electromechanical scheme where the electronic degrees of freedom of boron vacancy color centers hosted by a hexagonal boron nitride (hBN) nanoribbon are coupled for quantum information processing. The mutual coupling of color centers is...
Dephasing of Majorana qubits due to quasistatic disorder
P. Boross, A. P'alyi·Jun 29, 2021
Quantum bits based on Majorana zero modes are expected to be robust against certain noise types, and hence provide a quantum computing platform that is superior to conventional qubits. This robustness is not complete though: imperfections can still l...
Realizing coherently convertible dual-type qubits with the same ion species
H.-X. Yang, J.-Y. Ma, Y. Wu +7 more·Jun 28, 2021
Trapped ions constitute one of the most promising systems for implementing quantum computing and networking1,2. For large-scale ion-trap-based quantum computers and networks, it is critical to have two types of qubit: one for computation and storage,...
Accelerating variational quantum algorithms with multiple quantum processors
Yuxuan Du, Yan Qian, D. Tao·Jun 24, 2021
Variational quantum algorithms (VQAs) have the potential of utilizing near-term quantum machines to gain certain computational advantages over classical methods. Nevertheless, modern VQAs suffer from cumbersome computational overhead, hampered by the...
Chiral quantum network with giant atoms
Xin Wang, Hong-rong Li·Jun 24, 2021
In superconducting quantum circuits (SQCs), chiral routing quantum information is often realized with the ferrite circulators, which are usually bulky, lossy and require strong magnetic fields. To overcome those problems, we propose a novel method to...
Universal control of quantum processes using sector-preserving channels
Augustin Vanrietvelde, G. Chiribella·Jun 23, 2021
No quantum circuit can turn a completely unknown unitary gate into its coherently controlled version. Yet, coherent control of unknown gates has been realised in experiments, making use of a different type of initial resources. Here, we formalise the...
Provably efficient machine learning for quantum many-body problems
Hsin-Yuan Huang, R. Kueng, G. Torlai +2 more·Jun 23, 2021
Classical machine learning (ML) provides a potentially powerful approach to solving challenging quantum many-body problems in physics and chemistry. However, the advantages of ML over traditional methods have not been firmly established. In this work...