Papers
Live trends in quantum computing research, updated daily from arXiv.
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31,714
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Research Volume
15,751 papers in 12 months (-37% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Using Quantum Metrological Bounds in Quantum Error Correction: A Simple Proof of the Approximate Eastin-Knill Theorem.
Aleksander Kubica, R. Demkowicz-Dobrzański·Apr 24, 2020
We present a simple proof of the approximate Eastin-Knill theorem, which connects the quality of a quantum error-correcting code (QECC) with its ability to achieve a universal set of transversal logical gates. Our derivation employs powerful bounds o...
One-way LOCC indistinguishable lattice states via operator structures
D. Kribs, Comfort Mintah, Michael Nathanson +1 more·Apr 24, 2020
Lattice states are a class of quantum states that naturally generalize the fundamental set of Bell states. We apply recent results from quantum error correction and from one-way local operations and classical communication (LOCC) theory that are buil...
Combining hard and soft decoders for hypergraph product codes
Antoine Grospellier, Lucien Grouès, Anirudh Krishna +1 more·Apr 23, 2020
Hypergraph product codes are a class of constant-rate quantum low-density parity-check (LDPC) codes equipped with a linear-time decoder called small-set-flip (SSF). This decoder displays sub-optimal performance in practice and requires very large err...
Benchmarking near-term devices with quantum error correction
James R. Wootton·Apr 23, 2020
Now that ever more sophisticated devices for quantum computing are being developed, we require ever more sophisticated benchmarks. This includes a need to determine how well these devices support the techniques required for quantum error correction. ...
Tensor-network-based machine learning of non-Markovian quantum processes
Chu Guo, K. Modi, D. Poletti·Apr 23, 2020
We show how to learn structures of generic, non-Markovian, quantum stochastic processes using a tensor network based machine learning algorithm. We do this by representing the process as a matrix product operator (MPO) and train it with a database of...
Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse
P. Gokhale, Ali Javadi-Abhari, N. Earnest +2 more·Apr 23, 2020
Quantum computers are traditionally operated by programmers at the granularity of a gate-based instruction set. However, the actual device-level control of a quantum computer is performed via analog pulses. We introduce a compiler that exploits direc...
Quantum Solver of Contracted Eigenvalue Equations for Scalable Molecular Simulations on Quantum Computing Devices.
Scott E. Smart, D. Mazziotti·Apr 23, 2020
The accurate computation of ground and excited states of many-fermion quantum systems is one of the most consequential, contemporary challenges in the physical and computational sciences whose solution stands to benefit significantly from the advent ...
Adaptive Techniques in Practical Quantum Key Distribution
Wenyuan Wang·Apr 23, 2020
Quantum Key Distribution (QKD) can provide information-theoretically secure communications and is a strong candidate for the next generation of cryptography. However, in practice, the performance of QKD is limited by "practical imperfections" in real...
Fast optimization of parametrized quantum optical circuits
F. Miatto, N. Quesada·Apr 23, 2020
Parametrized quantum optical circuits are a class of quantum circuits in which the carriers of quantum information are photons and the gates are optical transformations. Optimizing these circuits is challenging due to the infinite dimensionality of t...
Multi-layer quantum search and inclusion of NP into BQP
Shan Jin, Xiaoting Wang, Bo Li·Apr 23, 2020
In this work, we present a multi-layer quantum search method that generates an exponential speedup of the standard Grover's algorithm. As direct applications, any NP problems can be solved efficiently on a quantum circuit with only polynomial gate co...
Quantum gradient algorithm for general polynomials
Pan Gao, Keren Li, Shijie Wei +2 more·Apr 23, 2020
Gradient-based algorithms, popular strategies to optimization problems, are essential for many modern machine-learning techniques. Theoretically, extreme points of certain cost functions can be found iteratively along the directions of the gradient. ...
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation
R. Schutski, D. Kolmakov, Taras Khakhulin +1 more·Apr 22, 2020
Tensor networks are the main building blocks in a wide variety of computational sciences, ranging from many-body theory and quantum computing to probability and machine learning. Here we propose a parallel algorithm for the contraction of tensor netw...
Secure multiparty quantum computation with few qubits
V. Lipinska, Jérémy Ribeiro, S. Wehner·Apr 22, 2020
We consider the task of secure multiparty distributed quantum computation on a quantum network. We propose a protocol based on quantum error correction which reduces the number of necessary qubits. That is, each of the $n$ nodes in our protocol requi...
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
H. Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda +1 more·Apr 22, 2020
Kernel methods augmented with random features give scalable algorithms for learning from big data. But it has been computationally hard to sample random features according to a probability distribution that is optimized for the data, so as to minimiz...
Classification Using a Two-Qubit Quantum Chip
N. Neumann·Apr 22, 2020
Quantum computing has great potential for advancing machine learning algorithms beyond classical reach. Even though full-fledged universal quantum computers do not exist yet, its expected benefits for machine learning can already be shown using simul...
Dirac Formulation for Universal Quantum Gates and Shor’s Integer Factorization in High-frequency Electric Circuits
M. Ezawa·Apr 21, 2020
Quantum computation may well be performed with the use of electric circuits. Especially, the Schrodinger equation can be simulated by the lumped-element model of transmission lines, which is applicable to low-frequency electric circuits. In this pape...
Quantum feedback for measurement and control
Leigh S. Martin·Apr 21, 2020
Author(s): Martin, Leigh Samuel | Advisor(s): Siddiqi, Irfan; Whaley, K. Birgitta | Abstract: The standard quantum formalism introduced at the undergraduate level treats measurement as an instantaneous collapse. In reality however, no physical proces...
Approximate approximation on a quantum annealer
I. Sax, Sebastian Feld, Sebastian Zieliński +3 more·Apr 20, 2020
Many problems of industrial interest are NP-complete, and quickly exhaust resources of computational devices with increasing input sizes. Quantum annealers (QA) are physical devices that aim at this class of problems by exploiting quantum mechanical ...
Entanglement Phase Transitions in Measurement-Only Dynamics
Matteo Ippoliti, M. Gullans, S. Gopalakrishnan +2 more·Apr 20, 2020
Unitary circuits subject to repeated projective measurements can undergo an entanglement transition as a function of the measurement rate. This transition is generally understood in terms of a competition between the scrambling effects of unitary dyn...
Quantum Error Source and Channel Coding
D. Lucarelli·Apr 20, 2020
A classical coding across a block of logical qubits is presented. We characterize subgroups of the product stabilizer group on a block of logical qubits corresponding to dual codes of classical error correcting codes. We prove conditions on the set o...