The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

One of the most promising suggested applications of quantum computing is solving
classically intractable chemistry problems. This may help to answer unresolved questions …

In ab initio electronic structure simulations, fermion-to-qubit mappings represent the initial
encoding step from the problem of fermions into a problem of qubits. This work introduces a …

Computational toxicology provides the basis for the accurate assessment and prediction of
toxic effects at the molecular level. However, classical computing often lacks speed and …

Simulating a fermionic system on a quantum computer requires encoding the anti-
commuting fermionic variables into the operators acting on the qubit Hilbert space. The most …

Quantum simulation of chemical Hamiltonians enables the efficient calculation of chemical
properties. Mapping is one of the essential steps in simulating fermionic systems on …

The most scalable proposed methods of simulating lattice fermions on noisy quantum
computers employ encodings that eliminate nonlocal operators using a constant factor more …

This paper introduces the Hamiltonian-Aware Ternary Tree (HATT) framework to compile
optimized Fermion-to-qubit mapping for specific Fermionic Hamiltonians. In the simulation of …

This paper introduces Fermihedral, a compiler framework focusing on discovering the
optimal Fermion-to-qubit encoding for targeted Fermionic Hamiltonians. Fermion-to-qubit …

The study of the properties of quantum mechanical systems of many particles occupies a
central role in condensed matter physics, high-energy physics, and quantum chemistry. In …