A Compact Fermion to Qubit Mapping
- URL: http://arxiv.org/abs/2003.06939v2
- Date: Thu, 19 Nov 2020 14:04:12 GMT
- Title: A Compact Fermion to Qubit Mapping
- Authors: Charles Derby and Joel Klassen
- Abstract summary: We present a novel fermion to qubit mapping which outperforms all previous local mappings in both the qubit to mode ratio, and the locality of mapped operators.
- Score: 0.4061135251278187
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Mappings between fermions and qubits are valuable constructions in physics.
To date only a handful exist. In addition to revealing dualities between
fermionic and spin systems, such mappings are indispensable in any quantum
simulation of fermionic physics on quantum computers. The number of qubits
required per fermionic mode, and the locality of mapped fermionic operators
strongly impact the cost of such simulations. We present a novel fermion to
qubit mapping which outperforms all previous local mappings in both the qubit
to mode ratio, and the locality of mapped operators.
Related papers
- Experimental Demonstration of Break-Even for the Compact Fermionic Encoding [0.0]
The utility of solving the Fermi-Hubbard model has been estimated in the billions of dollars.
We show experimentally that a recently developed local encoding can overcome this problem.
We conduct the largest digital quantum simulations of a fermionic model to date.
arXiv Detail & Related papers (2024-09-10T18:00:54Z) - A recipe for local simulation of strongly-correlated fermionic matter on quantum computers: the 2D Fermi-Hubbard model [0.0]
We provide a step-by-step recipe for simulating the paradigmatic two-dimensional Fermi-Hubbard model on a quantum computer using only local operations.
We provide a detailed recipe for an end-to-end simulation including embedding on a physical device.
arXiv Detail & Related papers (2024-08-26T18:00:07Z) - Quantum simulation of Fermi-Hubbard model based on transmon qudit
interaction [0.0]
We introduce a novel quantum simulation approach utilizing qudits to overcome such complexities.
We first demonstrate a Qudit Fermionic Mapping (QFM) that reduces the encoding cost associated with the qubit-based approach.
We then describe the unitary evolution of the mapped Hamiltonian by interpreting the resulting Majorana operators in terms of physical single- and two-qudit gates.
arXiv Detail & Related papers (2024-02-02T09:10:40Z) - 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) - Neural-network quantum states for ultra-cold Fermi gases [49.725105678823915]
This work introduces a novel Pfaffian-Jastrow neural-network quantum state that includes backflow transformation based on message-passing architecture.
We observe the emergence of strong pairing correlations through the opposite-spin pair distribution functions.
Our findings suggest that neural-network quantum states provide a promising strategy for studying ultra-cold Fermi gases.
arXiv Detail & Related papers (2023-05-15T17:46:09Z) - Fermion-qudit quantum processors for simulating lattice gauge theories
with matter [0.0]
We present a complete Rydberg-based architecture, co-designed to digitally simulate the dynamics of general gauge theories.
We show how to prepare hadrons made up of fermionic matter constituents bound by non-abelian gauge fields.
In both cases, we estimate the required resources, showing how quantum devices can be used to calculate experimentally-relevant quantities.
arXiv Detail & Related papers (2023-03-15T15:12:26Z) - Fermionic quantum processing with programmable neutral atom arrays [0.539215791790606]
Simulating the properties of many-body fermionic systems is an outstanding computational challenge relevant to material science, quantum chemistry, and particle physics.
We present a fermionic quantum processor, where fermionic models are encoded in a fermionic register and simulated in a hardware-efficient manner using fermionic gates.
arXiv Detail & Related papers (2023-03-13T10:35:48Z) - Quantum emulation of the transient dynamics in the multistate
Landau-Zener model [50.591267188664666]
We study the transient dynamics in the multistate Landau-Zener model as a function of the Landau-Zener velocity.
Our experiments pave the way for more complex simulations with qubits coupled to an engineered bosonic mode spectrum.
arXiv Detail & Related papers (2022-11-26T15:04:11Z) - Fermionic approach to variational quantum simulation of Kitaev spin
models [50.92854230325576]
Kitaev spin models are well known for being exactly solvable in a certain parameter regime via a mapping to free fermions.
We use classical simulations to explore a novel variational ansatz that takes advantage of this fermionic representation.
We also comment on the implications of our results for simulating non-Abelian anyons on quantum computers.
arXiv Detail & Related papers (2022-04-11T18:00:01Z) - Determining ground-state phase diagrams on quantum computers via a
generalized application of adiabatic state preparation [61.49303789929307]
We use a local adiabatic ramp for state preparation to allow us to directly compute ground-state phase diagrams on a quantum computer via time evolution.
We are able to calculate an accurate phase diagram on both two and three site systems using IBM quantum machines.
arXiv Detail & Related papers (2021-12-08T23:59:33Z) - Bosonic field digitization for quantum computers [62.997667081978825]
We address the representation of lattice bosonic fields in a discretized field amplitude basis.
We develop methods to predict error scaling and present efficient qubit implementation strategies.
arXiv Detail & Related papers (2021-08-24T15:30:04Z)
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.