no code implementations • 26 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.

no code implementations • 30 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.

no code implementations • 8 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.

no code implementations • 16 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

no code implementations • 27 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

1 code implementation • 17 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

1 code implementation • 27 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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