Qibo: a framework for quantum simulation with hardware acceleration

Efthymiou, Stavros; Ramos-Calderer, Sergi; Bravo-Prieto, Carlos; Pérez-Salinas, Adrián; García-Martín, Diego; Garcia-Saez, Artur; Latorre, José Ignacio; Carrazza, Stefano

doi:10.48550/arxiv.2009.01845

Cited by 16 publications

(16 citation statements)

References 58 publications

(69 reference statements)

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“…We have simulated the quantum circuits using the Qibo API [42,43], disregarding the influence of noise and the impact of finite sampling. The classical optimization technique employed in the quantum-classical loop is the BFGS method [44], a gradient-based approach, which in- volves the computation inverse Hessian matrix.…”

Section: Su(n ) Fermion-to-qubit Mappingmentioning

confidence: 99%

Variational Quantum Eigensolver for SU($N$) Fermions

Consiglio,

Chetcuti,

Bravo-Prieto

et al. 2021

Preprint

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Variational quantum algorithms aim at harnessing the power of noisy intermediate-scale quantum computers, by using a classical optimizer to train a parameterized quantum circuit to solve tractable quantum problems. The variational quantum eigensolver is one of the aforementioned algorithms designed to determine the ground-state of many-body Hamiltonians. Here, we apply the variational quantum eigensolver to study the ground-state properties of N -component fermions. With such knowledge, we study the persistent current of interacting SU(N ) fermions, which is employed to reliably map out the different quantum phases of the system. Our approach lays out the basis for a current-based quantum simulator of many-body systems that can be implemented on noisy intermediate-scale quantum computers.

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Section: Su(n ) Fermion-to-qubit Mappingmentioning

confidence: 99%

Variational Quantum Eigensolver for SU($N$) Fermions

Consiglio,

Chetcuti,

Bravo-Prieto

et al. 2021

Preprint

Self Cite

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show abstract

“…The developed techniques combined with tequilas automatic differentiation framework provide a testbed for quantum chemistry on quantum computers where new ideas, like low-depth approaches based on pair-natural orbitals [48] or Krylov subspaces [67,68], can be prototyped and demonstrated in a blackboard fashion. Our implementation provides an easy to use, automatically differentiable framework for unitary-coupled cluster, that leverages state of the art high performance simulators [52,53] and is ready for emerging quantum computers. We demonstrated initial applications for ground and excited state calculations for small model systems where we extended adaptive circuit construction schemes and, for the first time, applied them to excited state optimization.…”

Section: Discussionmentioning

confidence: 99%

“…Our implementation is inspired by various open-source packages such as madness [50], pennylane [25], and diffiqult [51], that are not focused on unitary coupled-cluster, but offer intuitive application programming interfaces, exposing, often highly specialized, numerical algorithms to a broad audience of interested scientists. tequila leverages state of the art high-performance simulators [52,53], quantum chemistry software [50,54,55] and jax [56] for extended automatic differentiation techniques. Given that access rights are permitted, tequila can furthermore access state of the art quantum computers.…”

Section: A Using the Implementation Within Tequilamentioning

confidence: 99%

A Feasible Approach for Automatically Differentiable Unitary Coupled-Cluster on Quantum Computers

Kottmann,

Anand,

Aspuru-Guzik

2020

Preprint

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We develop computationally affordable and encoding independent gradient evaluation procedures for unitary coupled-cluster type operators, applicable on quantum computers. We show that, within our framework, the gradient of an expectation value with respect to a parameterized n-fold fermionic excitation can be evaluated by four expectation values of similar form and size, whereas most standard approaches based on the direct application of the parameter-shift-rule come with an associated cost of O 2 2n expectation values. For real wavefunctions, this cost can be further reduced to two expectation values. Our strategies are implemented within the open-source package tequila and allow blackboard style construction of differentiable objective functions. We illustrate initial applications for electronic ground and excited states.

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“…Finally, the currently layout will be interfaced to the Qibo framework [47] in order to automate the process of circuit execution.…”

Section: Cloud Accessmentioning

confidence: 99%

ICARUS-Q: Integrated Control and Readout Unit for Scalable Quantum Processors

Park¹,

Yap²,

Tan³

et al. 2021

Preprint

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We present a control and measurement setup for superconducting qubits based on Xilinx 16channel radio frequency system on chip (RFSoC) device. The proposed setup consists of four parts: multiple RFSoC FPGA boards, a setup to synchronise every DAC and ADC channel across multiple boards, a low-noise DC current supply for qubit biasing and cloud access for remotely performing experiments. We also design the setup to be free of physical mixers. The FPGA boards directly generate microwave pulses using sixteen DAC channels up to the third Nyquist zone which are directly sampled by its eight ADC channels between the fifth and the ninth zones.

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Qibo: a framework for quantum simulation with hardware acceleration

Cited by 16 publications

References 58 publications

Variational Quantum Eigensolver for SU($N$) Fermions

Variational Quantum Eigensolver for SU($N$) Fermions

A Feasible Approach for Automatically Differentiable Unitary Coupled-Cluster on Quantum Computers

ICARUS-Q: Integrated Control and Readout Unit for Scalable Quantum Processors

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