Papers
Live trends in quantum computing research, updated daily from arXiv.
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Quantum optimisation via maximally amplified states
Tavis Bennett, Jingbo B. Wang·Nov 1, 2021
This paper presents the Maximum Amplification Optimisation Algorithm (MAOA), a novel quantum algorithm designed for combinatorial optimisation in the restricted circuit depth context of near-term quantum computing. The MAOA first produces a quantum sta...
RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation
Sergio Sánchez Ramírez, Javier Conejero, Francesc Lordan +4 more·Nov 1, 2021
With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target system Tensor Networks emerge as an optimal framework with which we repres...
Topology identification of autonomous quantum dynamical networks
S. Gherardini, H. V. Waarde, P. Tesi +1 more·Nov 1, 2021
Topology identification comprises reconstructing the interaction Hamiltonian of a quantum network by properly processing measurements of its density operator within a fixed time interval. It finds application in several quantum technology contexts, rang...
Discriminating Quantum States with Quantum Machine Learning
David Quiroga, Prasanna Date, R. Pooser·Nov 1, 2021
Quantum machine learning (QML) algorithms have obtained great relevance in the machine learning (ML) field due to the promise of quantum speedups when performing basic linear algebra subroutines (BLAS), a fundamental element in most ML algorithms. By...
A Case for Noisy Shallow Gate-based Circuits in Quantum Machine Learning
Patrick Selig, Niall Murphy, Ashwin Sundareswaran R +2 more·Nov 1, 2021
There is increasing interest in the development of gate- based quantum circuits for the training of machine learning models. Yet, little is understood concerning the parameters of circuit design, and the effects of noise and other measurement errors ...
Many-body localization enables iterative quantum optimization
Hanteng Wang, Hsiu-Chung Yeh, A. Kamenev·Nov 1, 2021
Many discrete optimization problems are exponentially hard due to the underlying glassy landscape. This means that the optimization cost exhibits multiple local minima separated by an extensive number of switched discrete variables. Quantum computati...
Improved Superconducting Qubit State Readout by Path Interference
Z. Wang 王, Zenghui 增晖 Bao 鲍, Y. Wu 吴 +6 more·Nov 1, 2021
High fidelity single shot qubit state readout is essential for many quantum information processing protocols. In superconducting quantum circuit, the qubit state is usually determined by detecting the dispersive frequency shift of a microwave cavity ...
Quantum Circuits in Additive Hilbert Space
Luca Mondada·Nov 1, 2021
Representations of quantum computations are almost always based on a tensor product $\otimes$-structure. This coincides with what we are able to execute in our experiments, as well as what we observe in Nature, but it makes certain familiar quantum p...
HybridQ: A Hybrid Simulator for Quantum Circuits
S. Mandrà, Jeffrey Marshall, E. Rieffel +1 more·Nov 1, 2021
Developing state-of-the-art classical simulators of quantum circuits is of utmost importance to test and evaluate early quantum technology and understand the true potential of full-blown error-corrected quantum computers. In the past few years, multi...
Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems
T. Tomesh, Kaiwen Gui, P. Gokhale +4 more·Nov 1, 2021
Simulating the time evolution of a physical system at quantum mechanical levels of detail - known as Hamiltonian Simulation (HS) - is an important and interesting problem across physics and chemistry. For this task, algorithms that run on quantum com...
Mode connectivity in the QCBM loss landscape: ICCAD Special Session Paper
Kathleen E. Hamilton, Emily Lynn, Vicente Leyton-Ortega +2 more·Nov 1, 2021
Quantum circuit Born machines (QCBMs) and training via variational quantum algorithms (VQAs) are key applications for near-term quantum hardware. QCBM ansäatze designs are unique in that they do not require prior knowledge of a physical Hamiltonian. ...
Quantum algorithm for persistent Betti numbers and topological data analysis
Ryuuichirou Hayakawa*·Oct 31, 2021
Topological data analysis (TDA) is an emergent field of data analysis. The critical step of TDA is computing the persistent Betti numbers. Existing classical algorithms for TDA are limited if we want to learn from high-dimensional topological feature...
Limitations of the Macaulay matrix approach for using the HHL algorithm to solve multivariate polynomial systems
Jintai Ding, Vlad Gheorghiu, Andr'as Gily'en +2 more·Oct 31, 2021
Recently Chen and Gao \cite{ChenGao2017} proposed a new quantum algorithm for Boolean polynomial system solving, motivated by the cryptanalysis of some post-quantum cryptosystems. The key idea of their approach is to apply a Quantum Linear System (QL...
Enabling a Programming Environment for an Experimental Ion Trap Quantum Testbed
Austin J. Adams, Elton Pinto, Jeffrey Young +4 more·Oct 30, 2021
Ion trap quantum hardware promises to provide a computational advantage over classical computing for specific problem spaces while also providing an alternative hardware implementation path to cryogenic quantum systems as typified by IBM's quantum ha...
Small-world complex network generation on a digital quantum processor
E. Jones, Logan E. Hillberry, Matthew T. Jones +9 more·Oct 30, 2021
Quantum cellular automata (QCA) evolve qubits in a quantum circuit depending only on the states of their neighborhoods and model how rich physical complexity can emerge from a simple set of underlying dynamical rules. The inability of classical compu...
Improved FRQI on superconducting processors and its restrictions in the NISQ era
A. Geng, A. Moghiseh, C. Redenbach +1 more·Oct 29, 2021
In image processing, the amount of data to be processed grows rapidly, in particular when dealing with images of more than two dimensions or time series of images. Thus, efficient processing is a challenge, as data sizes may push even supercomputers ...
Hybrid Quantum-Classical Algorithms for Loan-Collection Optimization with Loan-Loss Provisions
J. Tangpanitanon, Jirawat Saiphet, Pantita Palittapongarnpim +5 more·Oct 29, 2021
Banks are required to set aside funds in their income statement, known as a loan loss provision (LLP), to account for potential loan defaults and expenses. By treating the LLP as a global constraint, we propose a hybrid quantum-classical algorithm to...
Quantum Hamiltonian complexity in thermal equilibrium
S. Bravyi, Anirban Narayan Chowdhury, David Gosset +1 more·Oct 29, 2021
The physical properties of a quantum many-body system in thermal equilibrium are determined by its partition function and free energy. Here we study the computational complexity of approximating these quantities for n-qubit local Hamiltonians. First,...
TTDFT: A GPU accelerated Tucker tensor DFT code for large-scale Kohn-Sham DFT calculations
Chih-Chuen Lin, V. Gavini·Oct 29, 2021
We present the Tucker tensor DFT (TTDFT) code which uses a tensor-structured algorithm with graphic processing unit (GPU) acceleration for conducting ground-state DFT calculations on large-scale systems. The Tucker tensor DFT algorithm uses a localiz...
Universal Fidelity Reduction of Quantum Operations from Weak Dissipation.
Tahereh Abad, Jorge Fernández-Pendás, Anton Frisk Kockum +1 more·Oct 29, 2021
Quantum information processing is in real systems often limited by dissipation, stemming from remaining uncontrolled interaction with microscopic degrees of freedom. Given recent experimental progress, we consider weak dissipation, resulting in a sma...