Compact Quantum Dot Models for Analog Microwave co-Simulation
- URL: http://arxiv.org/abs/2502.06690v1
- Date: Mon, 10 Feb 2025 17:15:27 GMT
- Title: Compact Quantum Dot Models for Analog Microwave co-Simulation
- Authors: Lorenzo Peri, Alberto Gomez-Saiz, Christopher J. B. Ford, M. Fernando Gonzalez-Zalba,
- Abstract summary: We present Verilog-A compact models with a focus on quantum-dot-based systems.
Our models are capable of faithfully reproducing coherent quantum behavior within a standard electronic circuit simulator.
Our work paves the way for a new paradigm in the design of quantum systems.
- Score: 0.873811641236639
- License:
- Abstract: Scalable solid-state quantum computers will require integration with analog and digital electronics. Efficiently simulating the quantum-classical electronic interface is hence of paramount importance. Here, we present Verilog-A compact models with a focus on quantum-dot-based systems, relevant to semiconductor- and Majorana-based quantum computing. Our models are capable of faithfully reproducing coherent quantum behavior within a standard electronic circuit simulator, enabling compromise-free co-simulation of hybrid quantum devices. In particular, we present results from co-simulations performed in Cadence Spectre, showcasing coherent quantum phenomena in circuits with both quantum and classical components using an industry-standard electronic design and automation tool. Our work paves the way for a new paradigm in the design of quantum systems, which leverages the many decades of development of electronic computer-aided design and automation tools in the semiconductor industry to now simulate and optimize quantum processing units, quantum-classical interfaces, and hybrid quantum-analog circuits.
Related papers
- Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Adaptively partitioned analog quantum simulation on near-term quantum
computers: The nonclassical free-induction decay of NV centers in diamond [0.24475591916185496]
We propose an alternative analog simulation approach on near-term quantum devices.
Our approach circumvents the limitations by adaptively partitioning the bath into several groups.
This work sheds light on a flexible approach to simulate large-scale materials on noisy near-term quantum computers.
arXiv Detail & Related papers (2023-03-03T14:39:48Z) - Scalable Simulation of Quantum Measurement Process with Quantum
Computers [13.14263204660076]
We propose qubit models to emulate the quantum measurement process.
One model is motivated by single-photon detection and the other by spin measurement.
We generate Schr"odinger cat-like state, and their corresponding quantum circuits are shown explicitly.
arXiv Detail & Related papers (2022-06-28T14:21:43Z) - Analog Quantum Simulation of the Dynamics of Open Quantum Systems with
Quantum Dots and Microelectronic Circuits [0.0]
We introduce a setup for the analog quantum simulation of the dynamics of open quantum systems based on semiconductor quantum dots.
The proposal opens a general path for effective quantum dynamics simulations based on semiconductor quantum dots.
arXiv Detail & Related papers (2022-03-23T01:42:19Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits
at Exascale [57.84751206630535]
We present a modernized version of the Quantum Virtual Machine (TNQVM) which serves as a quantum circuit simulation backend in the e-scale ACCelerator (XACC) framework.
The new version is based on the general purpose, scalable network processing library, ExaTN, and provides multiple quantum circuit simulators.
By combining the portable XACC quantum processors and the scalable ExaTN backend we introduce an end-to-end virtual development environment which can scale from laptops to future exascale platforms.
arXiv Detail & Related papers (2021-04-21T13:26:42Z) - Preparing random states and benchmarking with many-body quantum chaos [48.044162981804526]
We show how to predict and experimentally observe the emergence of random state ensembles naturally under time-independent Hamiltonian dynamics.
The observed random ensembles emerge from projective measurements and are intimately linked to universal correlations built up between subsystems of a larger quantum system.
Our work has implications for understanding randomness in quantum dynamics, and enables applications of this concept in a wider context.
arXiv Detail & Related papers (2021-03-05T08:32:43Z) - Electronic structure with direct diagonalization on a D-Wave quantum
annealer [62.997667081978825]
This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer.
We demonstrate the use of D-Wave hardware for obtaining ground and electronically excited states across a variety of small molecular systems.
arXiv Detail & Related papers (2020-09-02T22:46:47Z) - Superconducting quantum many-body circuits for quantum simulation and
computing [0.0]
We discuss how superconducting circuits allow the engineering of a wide variety of interactions.
In particular we focus on strong photon-photon interactions mediated by nonlinear elements.
We discuss future perspectives of superconducting quantum simulation that open up when concatenating quantum gates in emerging quantum computing platforms.
arXiv Detail & Related papers (2020-03-18T10:33:26Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.