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 …

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 …

In recent years, research in quantum computing has largely focused on two approaches:
near-term intermediate-scale quantum (NISQ) computing and future fault-tolerant quantum …

Quantum phase estimation (QPE) is a key quantum algorithm, which has been widely
studied as a method to perform chemistry and solid-state calculations on future fault-tolerant …

A number of exciting recent results have been seen in the field of quantum error correction.
These include initial demonstrations of error correction on current quantum hardware and …

We introduce a multi-modal, multi-level quantum complex exponential least squares (MM-
QCELS) method to simultaneously estimate multiple eigenvalues of a quantum Hamiltonian …

Quantum phase estimation is one of the critical building blocks of quantum computing. For
early fault-tolerant quantum devices, it is desirable for a quantum phase estimation algorithm …

We develop three new methods to implement any Linear Combination of Unitaries (LCU), a
powerful quantum algorithmic tool with diverse applications. While the standard LCU …

State preparation plays a pivotal role in numerous quantum algorithms, including quantum
phase estimation. This paper extends and benchmarks counterdiabatic driving protocols …

Ionic pseudopotentials are widely used in classical simulations of materials to model the
effective potential due to the nucleus and the core electrons. Modeling fewer electrons …