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Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis, Ian Fan, Richie Yeung +7 more·Oct 8, 2021
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and classes implementing all stages of a pipeline for converting sentences to string...
Qubit-efficient encoding scheme for quantum simulations of electronic structure
Yu Shee, Pei-Kai Tsai, Chengyun Hong +2 more·Oct 8, 2021
Simulating electronic structure on a quantum computer requires encoding of fermionic systems onto qubits. Common encoding methods transform a fermionic system of $N$ spin-orbitals into an $N$-qubit system, but many of the fermionic configurations do ...
Calibrated Decoders for Experimental Quantum Error Correction.
Edward H. Chen, Theodore J. Yoder, Youngseok Kim +6 more·Oct 8, 2021
Arbitrarily long quantum computations require quantum memories that can be repeatedly measured without being corrupted. Here, we preserve the state of a quantum memory, notably with the additional use of flagged error events. All error events were ex...
Quantum pixel representations and compression for N-dimensional images
Mercy G. Amankwah, Daan Camps, E. .. Bethel +2 more·Oct 8, 2021
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)FRQI, (I)NEQR, MCRQI, and (I)NCQI. The proposed QPIXL framework result...
Noisy quantum amplitude estimation without noise estimation
Tomoki Tanaka, Shumpei Uno, Tamiya Onodera +2 more·Oct 8, 2021
Many quantum algorithms contain an important subroutine, the quantum amplitude estimation. As the name implies, this is essentially the parameter estimation problem and thus can be handled via the established statistical estimation theory. However, t...
QuOp_MPI: A framework for parallel simulation of quantum variational algorithms
Edric Matwiejew, Jingbo B. Wang·Oct 8, 2021
QuOp MPI is a Python package designed for parallel simulation of quantum variational algorithms. It presents an object-orientated approach to quantum variational algorithm design and utilises MPI-parallelised sparse-matrix exponentiation, the fast Fo...
The Parallel Reversible Pebbling Game: Analyzing the Post-Quantum Security of iMHFs
Jeremiah Blocki, Blake Holman, Seunghoon Lee·Oct 8, 2021
The classical (parallel) black pebbling game is a useful abstraction which allows us to analyze the resources (space, space-time, cumulative space) necessary to evaluate a function $f$ with a static data-dependency graph $G$. Of particular interest i...
Shadow process tomography of quantum channels
Jonathan Kunjummen, Minh C. Tran, D. Carney +1 more·Oct 7, 2021
Quantum process tomography is a critical capability for building quantum computers, enabling quantum networks, and understanding quantum sensors. Like quantum state tomography, the process tomography of an arbitrary quantum channel requires a number ...
Application-Oriented Performance Benchmarks for Quantum Computing
Thomas Lubinski, S. Johri, P. Varosy +6 more·Oct 7, 2021
In this work, we introduce an open-source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at executing quantum applications. These benchmarks probe a quantum com...
Variational Determination of Multiqubit Geometrical Entanglement in Noisy Intermediate-Scale Quantum Computers
A. Muñoz-Moller, L. Pereira, L. Zambrano +2 more·Oct 7, 2021
Current noise levels in physical realizations of qubits and quantum operations limit the applicability of conventional methods to characterize entanglement. In this adverse scenario, we follow a quantum variational approach to estimate the geometric ...
Large-bandwidth Transduction Between an Optical Single Quantum Dot Molecule and a Superconducting Resonator
Yuta Tsuchimoto, Zhe Sun, E. Togan +6 more·Oct 7, 2021
Quantum transduction between the microwave and optical domains is an outstanding challenge for long-distance quantum networks based on superconducting qubits. For all transducers realized to date, the generally weak light-matter coupling does not all...
Towards quantum simulations in particle physics and beyond on noisy intermediate-scale quantum devices
L. Funcke, T. Hartung, K. Jansen +4 more·Oct 7, 2021
We review two algorithmic advances that bring us closer to reliable quantum simulations of model systems in high-energy physics and beyond on noisy intermediate-scale quantum (NISQ) devices. The first method is the dimensional expressivity analysis o...
Building a large-scale quantum computer with continuous-variable optical technologies
Kosuke Fukui, S. Takeda·Oct 7, 2021
Realizing a large-scale quantum computer requires hardware platforms that can simultaneously achieve universality, scalability, and fault tolerance. As a viable pathway to meeting these requirements, quantum computation (QC) based on continuous-varia...
A Cutting-plane Method for Semidefinite Programming with Potential Applications on Noisy Quantum Devices
Jakub Marecek, A. Akhriev·Oct 7, 2021
There is an increasing interest in quantum algorithms for optimization problems. Within convex optimization, interior-point methods and other recently proposed quantum algorithms are non-trivial to implement on noisy quantum devices. Here, we discuss...
Digital quantum simulation of strong correlation effects with iterative quantum phase estimation over the variational quantum eigensolver algorithm: $\mathrm{H_4}$ on a circle as a case study
D. Halder, V. SrinivasaPrasannaa, Valay Agarawal +1 more·Oct 6, 2021
The iterative quantum phase estimation algorithm, applied to calculating the ground state energies of quantum chemical systems, is theoretically appealing in its wide scope of being able to handle both weakly and strongly correlated regimes. However,...
Supervised Learning Enhanced Quantum Circuit Transformation
Xiang-Yu Zhou, Yuan Feng, Sanjiang Li·Oct 6, 2021
A quantum circuit transformation (QCT) is required when executing a quantum program in a real quantum processing unit (QPU). By inserting auxiliary SWAP gates, a QCT algorithm transforms a quantum circuit to one that satisfies the connectivity constr...
Classical shadows for quantum process tomography on near-term quantum computers
Ryan Levy, Di Luo, B. Clark·Oct 6, 2021
Quantum process tomography is a powerful tool for understanding quantum channels and characterizing properties of quantum devices. Inspired by recent advances using classical shadows in quantum state tomography [H.-Y. Huang, R. Kueng, and J. Preskill...
First steps towards the quantum simulation of jet quenching
J. Barata, C. Salgado·Oct 6, 2021
The leading order $\alpha_s$ effect in jet quenching corresponds to the broadening of the jet's transverse momentum, due to the multiple interactions with the underlying medium. A complete understanding of momentum broadening is critical for the succ...
Lossy compression of statistical data using quantum annealer
B. Yoon, Nga T. T. Nguyen, Chia-Cheng Chang +1 more·Oct 5, 2021
We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. The algorithm finds a set of basis vectors and their binary coefficients that precisely reconstruct the original...
Spectral density reconstruction with Chebyshev polynomials.
J. Sobczyk, A. Roggero·Oct 5, 2021
Accurate calculations of the spectral density in a strongly correlated quantum many-body system are of fundamental importance to study its dynamics in the linear response regime. Typical examples are the calculation of inclusive and semiexclusive sca...