Drug design on quantum computers
The promised industrial applications of quantum computers often rest on their anticipated
ability to perform accurate, efficient quantum chemical calculations. Computational drug …
ability to perform accurate, efficient quantum chemical calculations. Computational drug …
Simulating quantum materials with digital quantum computers
Quantum materials exhibit a wide array of exotic phenomena and practically useful
properties. A better understanding of these materials can provide deeper insights into …
properties. A better understanding of these materials can provide deeper insights into …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
Ground-state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices
Under suitable assumptions, some recently developed quantum algorithms can estimate the
ground-state energy and prepare the ground state of a quantum Hamiltonian with near …
ground-state energy and prepare the ground state of a quantum Hamiltonian with near …
Even shorter quantum circuit for phase estimation on early fault-tolerant quantum computers with applications to ground-state energy estimation
We develop a phase-estimation method with a distinct feature: its maximal run time (which
determines the circuit depth) is δ/ϵ, where ϵ is the target precision, and the preconstant δ …
determines the circuit depth) is δ/ϵ, where ϵ is the target precision, and the preconstant δ …
Heisenberg-limited ground-state energy estimation for early fault-tolerant quantum computers
Under suitable assumptions, the quantum-phase-estimation (QPE) algorithm is able to
achieve Heisenberg-limited precision scaling in estimating the ground-state energy …
achieve Heisenberg-limited precision scaling in estimating the ground-state energy …
Filtering variational quantum algorithms for combinatorial optimization
Current gate-based quantum computers have the potential to provide a computational
advantage if algorithms use quantum hardware efficiently. To make combinatorial …
advantage if algorithms use quantum hardware efficiently. To make combinatorial …
Single-ancilla ground state preparation via Lindbladians
We design a quantum algorithm for ground state preparation in the early fault tolerant
regime. As a Monte Carlo style quantum algorithm, our method features a Lindbladian …
regime. As a Monte Carlo style quantum algorithm, our method features a Lindbladian …
Initial state preparation for quantum chemistry on quantum computers
Quantum algorithms for ground-state energy estimation of chemical systems require a high-
quality initial state. However, initial state preparation is commonly either neglected entirely …
quality initial state. However, initial state preparation is commonly either neglected entirely …
Near-optimal ground state preparation
Preparing the ground state of a given Hamiltonian and estimating its ground energy are
important but computationally hard tasks. However, given some additional information, these …
important but computationally hard tasks. However, given some additional information, these …