Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Annealing in the NISQ Era: Railway Conflict Management
K. Domino, M. Koniorczyk, K. Krawiec +3 more·Dec 7, 2021
We are in the noisy intermediate-scale quantum (NISQ) devices’ era, in which quantum hardware has become available for application in real-world problems. However, demonstrations of the usefulness of such NISQ devices are still rare. In this work, we...
Quantum simulation of chiral phase transitions
Alexander M. Czajka, Zhong-Bo Kang, Henry Ma +1 more·Dec 7, 2021
The Nambu–Jona-Lasinio (NJL) model has been widely studied for investigating the chiral phase structure of strongly interacting matter. The study of the thermodynamics of field theories within the framework of Lattice Field Theory is limited by the s...
QKSA: Quantum Knowledge Seeking Agent - resource-optimized reinforcement learning using quantum process tomography
A. Sarkar, Z. Al-Ars, H. Gandhi +1 more·Dec 7, 2021
In this research, we extend the universal reinforcement learning (URL) agent models of artificial general intelligence to quantum environments. The utility function of a classical exploratory stochastic Knowledge Seeking Agent, KL-KSA, is generalized...
Fundamental trade-off relation in probabilistic entanglement generation
Yuanbo Chen, Yoshihiko Hasegawa·Dec 6, 2021
We investigate the generation of entanglement between two non-interacting systems by synthesizing a new quantum process from the superposition of distinct processes characterized by local-only operations. Our analysis leads to the derivation of a uni...
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...
Building blocks of a flip-chip integrated superconducting quantum processor
S. Kosen, Hang Li, Marcus Rommel +22 more·Dec 6, 2021
We have integrated single and coupled superconducting transmon qubits into flip-chip modules. Each module consists of two chips—one quantum chip and one control chip—that are bump-bonded together. We demonstrate time-averaged coherence times exceedin...
Hybrid quantum-classical algorithm for computing imaginary-time correlation functions
Rihito Sakurai, W. Mizukami, H. Shinaoka·Dec 6, 2021
Quantitative descriptions of strongly correlated materials pose a considerable challenge in condensed matter physics and chemistry. A promising approach to address this problem is quantum embedding methods. In particular, the dynamical mean-field the...
Dynamic Asset Allocation with Expected Shortfall via Quantum Annealing
Hanjing Xu, S. Dasgupta, A. Pothen +1 more·Dec 6, 2021
Recent advances in quantum hardware offer new approaches to solve various optimization problems that can be computationally expensive when classical algorithms are employed. We propose a hybrid quantum-classical algorithm to solve a dynamic asset all...
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, $U$, ...
Topological graph states and quantum error-correction codes
Pengcheng Liao, B. Sanders, D. Feder·Dec 5, 2021
Deciding if a given family of quantum states is topologically ordered is an important but nontrivial problem in condensed matter physics and quantum information theory. We derive necessary and sufficient conditions for a family of graph states to be in...
A Quantum Computer Amenable Sparse Matrix Equation Solver
Christopher D. Phillips, V. H. U. O. Manitoba, Winnipeg +1 more·Dec 5, 2021
—Quantum computation offers a promising alterna- tive to classical computing methods in many areas of numerical science, with algorithms that make use of the unique way in which quantum computers store and manipulate data often achieving dramatic imp...
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...
Quantum Simulations of Loop Quantum Gravity
S. Shah·Dec 4, 2021
Loop Quantum Gravity (LQG) is one of the leading approaches to unify quantum physics and General Relativity (GR). The Hilbert space of LQG is spanned by spin-networks which describe the local geometry of quantum space-time. Simulation of LQG spin-net...
Nonlinear quantum error correction
M. Reichert, Louis Tessler, M. Bergmann +2 more·Dec 3, 2021
We introduce a theory of quantum error correction (QEC) for a subclass of states within a larger Hilbert space. In the standard theory of QEC, the set of all encoded states is formed by an arbitrary linear combination of the codewords. However, this ...
Computing the quantumguesswork: a quadratic assignment problem
M. Dall’Arno, Francesco Buscemi, Takeshi Koshiba·Dec 3, 2021
The quantum guesswork quantifies the minimum number of queries needed to guess the state of a quantum ensemble if one is allowed to query only one state at a time. Previous approaches to the computation of the guesswork were based on standard semi-de...
Markov chain Monte Carlo enhanced variational quantum algorithms
T. Patti, Omar Shehab, K. Najafi +1 more·Dec 3, 2021
Variational quantum algorithms have the potential for significant impact on high-dimensional optimization, with applications in classical combinatorics, quantum chemistry, and condensed matter. Nevertheless, the optimization landscape of these algori...
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...
Efficient Universal Quantum Compilation: An Inverse-free Solovay-Kitaev Algorithm
Adam Bouland, Tudor Giurgică-Tiron·Dec 3, 2021
The Solovay-Kitaev algorithm is a fundamental result in quantum computation. It gives an algorithm for efficiently compiling arbitrary unitaries using universal gate sets: any unitary can be approximated by short gates sequences, whose length scales ...
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer
B. Yoon, Chia-Cheng Chang, Garrett T. Kenyon +2 more·Dec 3, 2021
We present regression and compression algorithms for lattice QCD data utilizing the efficient binary optimization ability of quantum annealers. In the regression algorithm, we encode the correlation between the input and output variables into a spars...
Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer
Stasja Stanisic, J. Bosse, F. M. Gambetta +5 more·Dec 3, 2021
The famous, yet unsolved, Fermi-Hubbard model for strongly-correlated electronic systems is a prominent target for quantum computers. However, accurately representing the Fermi-Hubbard ground state for large instances may be beyond the reach of near-...