Search Results for author: Antonio Mezzacapo

Found 7 papers, 2 papers with code

Ab-initio quantum chemistry with neural-network wavefunctions

no code implementations26 Aug 2022 Jan Hermann, James Spencer, Kenny Choo, Antonio Mezzacapo, W. M. C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé

Machine learning and specifically deep-learning methods have outperformed human capabilities in many pattern recognition and data processing problems, in game playing, and now also play an increasingly important role in scientific discovery.


Analytic theory for the dynamics of wide quantum neural networks

no code implementations30 Mar 2022 Junyu Liu, Khadijeh Najafi, Kunal Sharma, Francesco Tacchino, Liang Jiang, Antonio Mezzacapo

We define wide quantum neural networks as parameterized quantum circuits in the limit of a large number of qubits and variational parameters.

Quantum Machine Learning

Representation Learning via Quantum Neural Tangent Kernels

no code implementations8 Nov 2021 Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo

We analytically solve the dynamics in the frozen limit, or lazy training regime, where variational angles change slowly and a linear perturbation is good enough.

BIG-bench Machine Learning Quantum Machine Learning +1

Precise measurement of quantum observables with neural-network estimators

no code implementations16 Oct 2019 Giacomo Torlai, Guglielmo Mazzola, Giuseppe Carleo, Antonio Mezzacapo

The measurement precision of modern quantum simulators is intrinsically constrained by the limited set of measurements that can be efficiently implemented on hardware.

Quantum Physics Disordered Systems and Neural Networks Strongly Correlated Electrons

Fermionic neural-network states for ab-initio electronic structure

no code implementations27 Sep 2019 Kenny Choo, Antonio Mezzacapo, Giuseppe Carleo

Neural-network quantum states have been successfully used to study a variety of lattice and continuous-space problems.

Computational Physics Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics

Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets

1 code implementation17 Apr 2017 Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M. Chow, Jay M. Gambetta

Quantum computers can be used to address molecular structure, materials science and condensed matter physics problems, which currently stretch the limits of existing high-performance computing resources.

Quantum Physics Superconductivity

Tapering off qubits to simulate fermionic Hamiltonians

1 code implementation27 Jan 2017 Sergey Bravyi, Jay M. Gambetta, Antonio Mezzacapo, Kristan Temme

Such encodings eliminate redundant degrees of freedom in a way that preserves a simple structure of the system Hamiltonian enabling quantum simulations with fewer qubits.

Quantum Physics

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