Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Identification of Different Types of High-Frequency Defects in Superconducting Qubits
L. Abdurakhimov, I. Mahboob, H. Toida +3 more·Dec 10, 2021
Parasitic two-level-system (TLS) defects are one of the major factors limiting the coherence times of superconducting qubits. Although there has been significant progress in characterizing basic parameters of TLS defects, exact mechanisms of interacti...
VAQEM: A Variational Approach to Quantum Error Mitigation
Gokul Subramanian Ravi, Kaitlin N. Smith, P. Gokhale +4 more·Dec 10, 2021
Variational Quantum Algorithms (VQA) are one of the most promising candidates for near-term quantum advantage. Traditionally, these algorithms are parameterized by rotational gate angles whose values are tuned over iterative execution on quantum mach...
Quantum Architecture Search via Continual Reinforcement Learning
Esther Ye, Samuel Yen-Chi Chen·Dec 10, 2021
Quantum computing has promised significant improvement in solving difficult computational tasks over classical computers. Designing quantum circuits for practical use, however, is not a trivial objective and requires expert-level knowledge. To aid th...
Mapping the metal-insulator phase diagram by algebraically fast-forwarding dynamics on a cloud quantum computer
Thomas Steckmann, Trevor Keen, Efekan Kökcü +3 more·Dec 10, 2021
Dynamical mean-field theory (DMFT) maps the local Green's function of the Hubbard model to that of the Anderson impurity model and thus gives an approximate solution of the Hubbard model from the solution of simpler quantum impurity model. Quantum an...
Thermodynamic Constraints on Quantum Information Gain and Error Correction: A Triple Trade-Off
Arshag Danageozian, M. Wilde, F. Buscemi·Dec 9, 2021
Quantum error correction (QEC) is a procedure by which the quantum state of a system is protected against a known type of noise, by preemptively adding redundancy to that state. Such a procedure is commonly used in quantum computing when thermal nois...
Optimal Thresholds for Fracton Codes and Random Spin Models with Subsystem Symmetry.
Hao Song, Janik Schönmeier-Kromer, Ke Liu +3 more·Dec 9, 2021
Fracton models provide examples of novel gapped quantum phases of matter that host intrinsically immobile excitations and therefore lie beyond the conventional notion of topological order. Here, we calculate optimal error thresholds for quantum error...
Compressive Gate Set Tomography
Raphael Brieger, I. Roth, M. Kliesch·Dec 9, 2021
Flexible characterization techniques that identify and quantify experimental imperfections under realistic assumptions are crucial for the development of quantum computers. Gate set tomography is a characterization approach that simultaneously and se...
Dual-map framework for noise characterization of quantum computers
James Sud, Jeffrey Marshall, Zhihui Wang +2 more·Dec 8, 2021
In order to understand the capabilities and limitations of quantum computers, it is necessary to develop methods that efficiently characterize and benchmark error channels present on these devices. In this paper, we present a method that faithfully r...
Simulating the Electronic Structure of Spin Defects on Quantum Computers
Benchen Huang, M. Govoni, G. Galli·Dec 8, 2021
We present calculations of both the ground and excited state energies of spin defects in solids carried out on a quantum computer, using a hybrid classical/quantum protocol. We focus on the negatively charged nitrogen vacancy center in diamond and on...
Quantum phase estimation in presence of glassy disorder
S. Maiti, Kornikar Sen, U. Sen·Dec 8, 2021
We investigate the response to noise, in the form of glassy disorder present in circuit elements, in the success probability of the quantum phase estimation algorithm, a subroutine used to determine the eigenvalue - a phase - corresponding to an eige...
Distance-four quantum codes with combined postselection and error correction
Prithviraj Prabhu, B. Reichardt·Dec 7, 2021
When storing encoded qubits, if single faults can be corrected and double faults postselected against, logical errors only occur due to at least three faults. At current noise rates, having to restart when two errors are detected prevents very long-t...
Quantum readout error mitigation via deep learning
Jihye Kim, Byungdu Oh, Y. Chong +2 more·Dec 7, 2021
Quantum computing devices are inevitably subject to errors. To leverage quantum technologies for computational benefits in practical applications, quantum algorithms and protocols must be implemented reliably under noise and imperfections. Since nois...
Qubit noise deconvolution
Stefano Mangini, L. Maccone, C. Macchiavello·Dec 6, 2021
We present a noise deconvolution technique to remove a wide class of noises when performing arbitrary measurements on qubit systems. In particular, we derive the inverse map of the most common single qubit noisy channels, and exploit it at the data p...
Quantum algorithms for the generalized eigenvalue problem
Jin‐Min Liang, Shuqian Shen, Ming Li +1 more·Dec 5, 2021
The generalized eigenvalue (GE) problems are of particular importance in various areas of science engineering and machine learning. We present a variational quantum algorithm for finding the desired generalized eigenvalue of the GE problem, A|ψ⟩=λB|ψ...
Invariance of success probability in Grover's quantum search under local noise with memory
Sheikh Parvez Mandal, Ahana Ghoshal, Chirag Srivastava +1 more·Dec 5, 2021
We analyze the robustness of Grover's quantum search algorithm performed by a quantum register under a possibly time-correlated noise acting locally on the qubits. We model the noise as originating from an arbitrary but fixed unitary evolution, $U$, ...
Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage
Xun Gao, M. Kalinowski, Chi-Ning Chou +3 more·Dec 3, 2021
Demonstrating quantum advantage requires experimental implementation of a computational task that is hard to achieve using state-of-the-art classical systems. One approach is to perform sampling from a probability distribution associated with a class...
Robust Quantum Control using Hybrid Pulse Engineering
M. H. Ram, V. Krithika, Priyanka Batra +1 more·Dec 2, 2021
The development of efficient algorithms that generate robust quantum controls is crucial for the realization of quantum technologies. The commonly used gradient-based optimization algorithms are limited by their sensitivity to the initial guess, whic...
Measurement Crosstalk Errors in Cloud-Based Quantum Computing
Seungchan Seo, J. Bae·Dec 2, 2021
Quantum technologies available currently contain noise in general, often dubbed noisy intermediate-scale quantum systems. We here present the verification of noise in measurement readout errors in cloud-based quantum computing services, IBMQ and Rige...
Analysis of loss correction with the Gottesman-Kitaev-Preskill code
Jacob Hastrup, U. Andersen·Dec 2, 2021
The Gottesman-Kitaev-Preskill (GKP) code is a promising bosonic quantum error-correcting code, encoding logical qubits into a bosonic mode in such a way that many physically relevant noise types can be corrected effectively. A particularly relevant n...
Morphing Quantum Codes
M. Vasmer, Aleksander Kubica·Dec 2, 2021
We introduce a morphing procedure that can be used to generate new quantum codes from existing quantum codes. In particular, we morph the 15-qubit Reed-Muller code to obtain a $[\![10,1,2]\!]$ code that is the smallest known stabilizer code with a fa...