QC Ware

Description

The Senior Staff Scientist will lead efforts to discover, implement, test, and deploy hybrid quantum/classical algorithms for the prediction of chemical properties on near-term quantum circuit hardware. The Senior Staff Scientist will be responsible for developing QC Ware’s research portfolio by bringing in and working with clients (industrial customers and US federal funding agencies) to develop end-to-end workflows for the quantum solution of real-world chemistry problems. The overarching goal of this role is for the Senior Staff Scientist to find and manage a portfolio of clients who need to solve serious chemistry problems on NISQ hardware, where the quantum computing solution offers a performance advantage.

Responsibilities

Role

Requirements

Demonstrated publication record in quantum algorithms for quantum chemistry applications
Experience with quantum circuit algorithms and programming, e.g., within Cirq, Qiskit, PyQuil, or similar
Fluency with C++, CUDA, or other high-performance classical programming languages
Demonstrated contributions to one or more major classical electronic structure codes

Demonstrated publication record in quantum algorithms for quantum chemistry applications
Experience with quantum circuit algorithms and programming, e.g., within Cirq, Qiskit, PyQuil, or similar
Fluency with C++, CUDA, or other high-performance classical programming languages
Demonstrated contributions to one or more major classical electronic structure codes

Preferred Qualifications

Demonstrated publication record in quantum algorithms for quantum chemistry applications
Experience with quantum circuit algorithms and programming, e.g., within Cirq, Qiskit, PyQuil, or similar
Fluency with C++, CUDA, or other high-performance classical programming languages
Demonstrated contributions to one or more major classical electronic structure codes

Minimum Qualifications

Ph.D. in Computational Chemistry, Computational Condensed Matter Physics or similar field
Demonstrated publication record in quantum chemistry applications and/or methods development projects
Demonstrated ability to manage a research group with sustainable funding sources (e.g., at a Tier I research university or national lab)
Demonstrated experience in solving industrial chemistry problems using classical theoretical chemistry methodology (e.g., in pharmaceuticals or materials)
Strong mentoring ability and communication skills
Fluency with Python
Zeal to learn new skills as-needed in mathematics, physics, computer science, and engineering to deliver high-quality technical solutions
Ability to work independently and within a larger team

Compensation

Attractive cash salary and stock option package
Health/vision/dental coverage for employees and dependents
Option to work and publish with top-quality university and national lab collaborators.

About You

About QC Ware

QC Ware has an established and growing portfolio of near-term quantum algorithms for quantum chemistry applications. We particularly focus on hybrid quantum/classical algorithms that provide an end-to-end prediction of useful chemical properties such as excitation energies and molecular interaction energies that use extensive classical pre-computation to compress the “hard kernel” of the problem to the minimal-sized qubit problem. More details can be found in some of our recent papers:

MC-VQE+AIEM – arXiv:1901.01234 – Extension of the variational quantum eigensolver (VQE) to even-handed treatment of excited states and transition properties, introduction of the ab initio exciton model (AIEM) as a means to treat systems with thousands of atoms with a few dozen qubits for suitable photochemistry problems.
MC-VQE+AIEM Gradients – arXiv:1906.08728 – Application of the Lagrangian formalism of derivative theory in classical electronic structure to efficiently compute analytic nuclear gradients of MC-VQE+AIEM energies.
QFD – arXiv:1909.08925 – Method between VQE and QPE that uses more parallel measurements to solve the electronic structure problem via a subspace ansatz of quantum basis functions that are classically diagonalized in postprocessing.
Quantum SAPT - arXiv:2110.01589 - Use of symmetry-adapted perturbation theory (SAPT) as a simple and efficient means to compute interaction energies between large molecular systems with a hybrid method combing NISQ-era quantum and classical computers.

We are part of a large collaborative research endeavor in quantum algorithms for photochemistry sponsored by the US Department of Energy (DoE), and involving collaborators at SLAC National Accelerator Laboratory, Oak Ridge National Laboratory, University of Pennsylvania, and Columbia University. We also deliver quantum algorithms solutions for quantum chemistry for a number of industrial and government clients, including Covestro and Boehringer Ingleheim.

Apply for this role

Please email us your application along with your resume

Email us

Senior Staff Scientist in Chemistry