activity
20112026
most citedRecent developments in the PySCF program package

1.2k citations · 3.4k across the 33 of their papers we have counts for

collaborators

36 papers

quant-ph2026

Fault-tolerant resource estimation for ground-state preparation via Lindblad simulation

Marius Bothe, Patrick Schoepf, Nick S. Blunt

Recent advances in algorithms for simulating Lindblad dynamics have clarified their theoretical potential for state preparation, but their practicality in the early fault-tolerant…

quant-ph2026

More efficient Clifford+T synthesis for small-angle rotations and application to Trotterization

Marius Bothe, Christoph Sünderhauf, Michael J. Witham +2

Clifford+T synthesis of rotation gates is an important routine in fault-tolerant quantum compilation. While Clifford+T synthesis is scalable, it has a high overhead of tens of T ga…

quant-ph2026

Quantum simulation of nanographenes and Trotter error cancellation

Andreas Juul Bay-Smidt, Nina Glaser, Marcel D. Fabian +3

Fault-tolerant quantum computing is a promising tool for simulating molecules and materials, but frequently-considered applications require substantial resources, and the gap betwe…

quant-ph2025

A Monte Carlo approach to bound Trotter error

Nick S. Blunt, Aleksei V. Ivanov, Andreas Juul Bay-Smidt

Trotter product formulas are a natural and powerful approach to perform quantum simulation. However, the error analysis of product formulas is challenging, and their cost is often…

quant-ph2025★ 2 cited

Fault-tolerant quantum simulation of generalized Hubbard models

Andreas Juul Bay-Smidt, Frederik Ravn Klausen, Christoph Sünderhauf +3

Quantum simulations of strongly interacting fermionic systems, such as those described by the Hubbard model, are promising candidates for useful early fault-tolerant quantum comput…

quant-ph2024★ 3 cited

A quantum computing approach to fixed-node Monte Carlo using classical shadows

Nick S. Blunt, Laura Caune, Javiera Quiroz-Fernandez

Quantum Monte Carlo (QMC) methods are powerful approaches for solving electronic structure problems. Although they often provide high-accuracy solutions, the precision of most QMC…

quant-ph2024

Demonstrating real-time and low-latency quantum error correction with superconducting qubits

Laura Caune, Luka Skoric, Nick S. Blunt +22

Quantum error correction (QEC) will be essential to achieve the accuracy needed for quantum computers to realise their full potential. The field has seen promising progress with de…

physics.chem-ph2023★ 3 cited

The Electronic Structure of the Hydrogen Molecule: A Tutorial Exercise in Classical and Quantum Computation

Vincent Graves, Christoph Sünderhauf, Nick S. Blunt +2

In this educational paper, we will discuss calculations on the hydrogen molecule both on classical and quantum computers. In the former case, we will discuss the calculation of mol…

quant-ph2023★ 11 cited

Compilation of a simple chemistry application to quantum error correction primitives

Nick S. Blunt, György P. Gehér, Alexandra E. Moylett

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, a…

quant-ph2023★ 25 cited

Statistical phase estimation and error mitigation on a superconducting quantum processor

Nick S. Blunt, Laura Caune, Róbert Izsák +2

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 quan…

physics.chem-ph2023★ 37 cited

Measuring Electron Correlation. The Impact of Symmetry and Orbital Transformations

Róbert Izsák, Aleksei V Ivanov, Nick S. Blunt +2

In this perspective, the various measures of electron correlation used in wavefunction theory, density functional theory and quantum information theory are briefly reviewed. We the…

physics.chem-ph2022★ 190 cited

A perspective on the current state-of-the-art of quantum computing for drug discovery applications

Nick S. Blunt, Joan Camps, Ophelia Crawford +9

Computational chemistry is an essential tool in the pharmaceutical industry. Quantum computing is a fast evolving technology that promises to completely shift the computational cap…

physics.chem-ph2022★ 4 cited

Quantum Computing in Pharma: A Multilayer Embedding Approach for Near Future Applications

Robert Izsak, Christoph Riplinger, Nick S. Blunt +6

Quantum computers are special purpose machines that are expected to be particularly useful in simulating strongly correlated chemical systems. The quantum computer excels at treati…

quant-ph2021★ 548 cited

Demonstration of multi-qubit entanglement and algorithms on a programmable neutral atom quantum computer

T. M. Graham, Y. Song, J. Scott +22

Gate model quantum computers promise to solve currently intractable computational problems if they can be operated at scale with long coherence times and high fidelity logic. Neutr…

physics.chem-ph2021★ 5 cited

Fixed and partial-node approximations in Slater determinant space for molecules

Nick S. Blunt

We present a study of fixed and partial-node approximations in Slater determinant basis sets, using full configuration interaction quantum Monte Carlo (FCIQMC) to perform sampling.…

physics.chem-ph2020★ 29 cited

Efficient multireference perturbation theory without high-order reduced density matrices

Nick S. Blunt, Ankit Mahajan, Sandeep Sharma

We present a stochastic approach to perform strongly contracted n-electron valence state perturbation theory (SC-NEVPT), which only requires one- and two-body reduced density matri…

physics.comp-ph2020★ 99 cited

NECI: N-Electron Configuration Interaction with emphasis on state-of-the-art stochastic methods

Kai Guther, Robert J. Anderson, Nick S. Blunt +22

We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo algorithm, a method based on a stochastic application of the Hamiltonia…

physics.chem-ph2020★ 1.2k cited

Recent developments in the PySCF program package

Qiming Sun, Xing Zhang, Samragni Banerjee +46

PYSCF is a Python-based general-purpose electronic structure platform that both supports first-principles simulations of molecules and solids, as well as accelerates the developmen…

physics.chem-ph2019★ 28 cited

Multireference configuration interaction and perturbation theory without reduced density matrices

Ankit Mahajan, Nick S. Blunt, Iliya Sabzevari +1

The computationally expensive evaluation and storage of high-rank reduced density matrices (RDMs) has been the bottleneck in the calculation of dynamic correlation for multireferen…

physics.chem-ph2019★ 13 cited

A hybrid approach to extending selected configuration interaction and full configuration interaction quantum Monte Carlo

Nick S. Blunt

We present an approach to combining selected configuration interaction (SCI) and initiator full configuration interaction quantum Monte Carlo (i-FCIQMC). In the current i-FCIQMC sc…

physics.chem-ph2019★ 30 cited

Preconditioning and perturbative estimators in full configuration interaction quantum Monte Carlo

Nick S. Blunt, Alex J. W. Thom, Charles J. C. Scott

We propose the use of preconditioning in FCIQMC which, in combination with perturbative estimators, greatly increases the efficiency of the algorithm. The use of preconditioning al…

physics.comp-ph2018★ 44 cited

The HANDE-QMC project: open-source stochastic quantum chemistry from the ground state up

James S. Spencer, Nick S. Blunt, Seonghoon Choi +15

Building on the success of Quantum Monte Carlo techniques such as diffusion Monte Carlo, alternative stochastic approaches to solve electronic structure problems have emerged over…

cond-mat.str-el2018★ 25 cited

Excited-state diffusion Monte Carlo calculations: a simple and efficient two-determinant ansatz

Nick S. Blunt, Eric Neuscamman

We perform excited-state variational Monte Carlo and diffusion Monte Carlo calculations using a simple and efficient wave function ansatz. This ansatz follows the recent variation-…

cond-mat.str-el2018★ 17 cited

Non-linear biases, stochastically-sampled effective Hamiltonians and spectral functions in quantum Monte Carlo methods

Nick S. Blunt, Ali Alavi, George H. Booth

In this article we study examples of systematic biases that can occur in quantum Monte Carlo methods due to the accumulation of non-linear expectation values, and approaches by whi…