Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,749 papers in 12 months (-37% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
On estimating the entropy of shallow circuit outputs
A. Gheorghiu, M. Hoban·Feb 27, 2020
Estimating the entropy of probability distributions and quantum states is a fundamental task in information processing. Here, we examine the hardness of this task for the case of probability distributions or quantum states produced by shallow circuit...
Thermal Stability of Dynamical Phase Transitions in Higher Dimensional Stabilizer Codes
A. Schmitz·Feb 26, 2020
For all of the interest in dynamical phase transitions (DPT), it is still not clear the meaning or prevalence of these features in higher dimensional models. In this paper, we consider DPTs for stabilizer code models and quantum quenches between thes...
Quantum Distributed Complexity of Set Disjointness on a Line
F. Magniez, A. Nayak·Feb 26, 2020
Given \( x,y\in \lbrace 0,1\rbrace ^n \) , Set Disjointness consists in deciding whether \( x_i=y_i=1 \) for some index \( i \in [n] \) . We study the problem of computing this function in a distributed computing scenario in which the inputs \( x \) ...
Efficient phase-factor evaluation in quantum signal processing
Yulong Dong, X. Meng, K. B. Whaley +1 more·Feb 26, 2020
Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP has shown that asymptotically optimal results can in principle be obt...
Correcting Spanning Errors With a Fractal Code
Georgia M. Nixon, Benjamin J. Brown·Feb 26, 2020
The strongly correlated systems we use to realise quantum error-correcting codes may give rise to high-weight, problematic errors. Encouragingly, we can expect local quantum error-correcting codes with no string-like logical operators — such as the c...
Machine Learning based prediction of noncentrosymmetric crystal materials
Yuqi Song, Joseph Lindsay, Yong Zhao +5 more·Feb 26, 2020
Abstract Noncentrosymmetric materials play a critical role in many important applications such as laser technology, communication systems,quantum computing, cybersecurity, and etc. However, the experimental discovery of new noncentrosymmetric materia...
Anneal-path correction in flux qubits
M. Khezri, J. Grover, J. Basham +5 more·Feb 25, 2020
Quantum annealers require accurate control and optimized operation schemes to reduce noise levels, in order to eventually demonstrate a computational advantage over classical algorithms. We study a high coherence four-junction capacitively shunted fl...
Towards scalable bosonic quantum error correction
B. Terhal, J. Conrad, Christophe Vuillot·Feb 25, 2020
We review some of the recent efforts in devising and engineering bosonic qubits for superconducting devices, with emphasis on the Gottesman–Kitaev–Preskill (GKP) qubit. We present some new results on decoding repeated GKP error correction using finit...
Evaluation of exponential sums and Riemann zeta function on quantum computer
S. Tyagi·Feb 25, 2020
We show that exponential sums (ES) of the form \begin{equation*} S(f, N)= \sum_{k=0}^{N-1} \sqrt{w_k} e^{2 \pi i f(k)}, \end{equation*} can be efficiently carried out with a quantum computer (QC). Here $N$ can be exponentially large, $w_k$ are real n...
Quantum Algorithms for Simulating the Lattice Schwinger Model
Alexander F. Shaw, P. Lougovski, Jesse R. Stryker +1 more·Feb 25, 2020
The Schwinger model (quantum electrodynamics in 1+1 dimensions) is a testbed for the study of quantum gauge field theories. We give scalable, explicit digital quantum algorithms to simulate the lattice Schwinger model in both NISQ and fault-tolerant ...
Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report
Mariia Mykhailova, K. Svore·Feb 25, 2020
Quantum computing harnesses quantum laws of nature to enable new types of algorithms, not efficiently possible on traditional computers, that may lead to breakthroughs in crucial areas like materials science and chemistry. There is rapidly growing de...
Is all-electrical silicon quantum computing feasible in the long term?
E. Ferraro, E. Prati·Feb 25, 2020
Abstract The development of the first generation of commercial quantum computers is based on superconductive qubits and trapped ions respectively. Other technologies such as semiconductor quantum dots, neutral ions and photons could in principle prov...
Codar: A Contextual Duration-Aware Qubit Mapping for Various NISQ Devices
Haowei Deng, Yu Zhang, Quanxi Li·Feb 24, 2020
Quantum computing devices in the NISQ era share common features and challenges like limited connectivity between qubits. Since two-qubit gates are allowed on limited qubit pairs, quantum compilers must transform original quantum programs to fit the h...
Universal Fast-Flux Control of a Coherent, Low-Frequency Qubit
Helin Zhang, S. Chakram, Tanay Roy +6 more·Feb 24, 2020
The \textit{heavy-fluxonium} circuit is a promising building block for superconducting quantum processors due to its long relaxation and dephasing time at the half-flux frustration point. However, the suppressed charge matrix elements and low transit...
Efficient Quantum Circuit Decompositions via Intermediate Qudits
Jonathan M. Baker, Casey Duckering, F. Chong·Feb 24, 2020
Many quantum algorithms make use of ancilla, additional qubits used to store temporary information during computation, to reduce the total execution time. Quantum computers will be resource-constrained for years to come so reducing ancilla requiremen...
Event Classification with Quantum Machine Learning in High-Energy Physics
K. Terashi, M. Kaneda, T. Kishimoto +3 more·Feb 23, 2020
We present studies of quantum algorithms exploiting machine learning to classify events of interest from background events, one of the most representative machine learning applications in high-energy physics. We focus on variational quantum approach ...
Planning for Compilation of a Quantum Algorithm for Graph Coloring
M. Do, Zhihui Wang, B. O’Gorman +3 more·Feb 23, 2020
The problem of compiling general quantum algorithms for implementation on near-term quantum processors has been introduced to the AI community. Previous work demonstrated that temporal planning is an attractive approach for part of this compilationta...
Quantum Cognitive Triad: Semantic Geometry of Context Representation
I. Surov·Feb 22, 2020
The paper describes an algorithm for semantic representation of behavioral contexts relative to a dichotomic decision alternative. The contexts are represented as quantum qubit states in two-dimensional Hilbert space visualized as points on the Bloch...
Optimality Study of Existing Quantum Computing Layout Synthesis Tools
Daniel Bochen Tan, J. Cong·Feb 22, 2020
Layout synthesis, an important step in quantum computing, processes quantum circuits to satisfy device layout constraints. In this paper, we construct QUEKO benchmarks for this problem, which have known optimal depths and gate counts. We use QUEKO to...
QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces
Siddharth Sharma·Feb 22, 2020
Machine learning and quantum computing are two technologies that are causing a paradigm shift in the performance and behavior of certain algorithms, achieving previously unattainable results. Machine learning (kernel classification) has become ubiqui...