Paul Coote
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Paul Coote Email & Phone Number

Lead Scientist at Q-CTRL at Q-CTRL
Location: United States, United States, United States 11 work roles 4 schools
1 work email found @q-ctrl.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email p****@q-ctrl.com
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Current company
Role
Lead Scientist at Q-CTRL
Location
United States, United States, United States
Company size

Who is Paul Coote? Overview

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Quick answer

Paul Coote is listed as Lead Scientist at Q-CTRL at Q-CTRL, a company with 42 employees, based in United States, United States, United States. AeroLeads shows a work email signal at q-ctrl.com and a matched LinkedIn profile for Paul Coote.

Paul Coote previously worked as Lead Research Scientist, Quantum Control at Q-Ctrl and Senior Research Scientist, Quantum Control at Q-Ctrl. Paul Coote holds Doctor Of Philosophy (Phd), Engineering from Harvard University.

Company email context

Email format at Q-CTRL

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{first}.{last}@q-ctrl.com
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Profile bio

About Paul Coote

Developing new ways to make quantum computing reliable, robust, and useful.

Listed skills include Matlab, Quantum Mechanics, Decision Theory, Statistical Data Analysis, and 30 others.

Current workplace

Paul Coote's current company

Company context helps verify the profile and gives searchers a useful next step.

Q-CTRL
Q-Ctrl
Lead Scientist at Q-CTRL
australia
Website
Employees
42
AeroLeads page
11 roles

Paul Coote work experience

A career timeline built from the work history available for this profile.

Lead Research Scientist, Quantum Control

Current

Santa Monica, California, United States

Developing error suppression methods for quantum computers.

Jan 2024 - Present

Senior Research Scientist, Quantum Control

Develop efficient and reliable methods and tools for real quantum computers.

Jan 2023 - Jan 2024

Research Scientist

Boston, Massachusetts, United States

Development of novel nuclear magnetic resonance (NMR) methods. Research of quantum optimal control theory for control of spin systems. Statistical signal and image processing. Simulation of spin dynamics.

Apr 2019 - Jan 2023

Consultant

Montreal, Canada Area

Machine learning for analysis of chemometric data. Development and automation of statistical signal processing methods for drug discovery.

Jul 2015 - Jan 2023

Research Associate

Greater Boston Area

Big data analysis of fragment screens for drug discovery. Design of novel nuclear magnetic resonance (NMR) experiments using optimal control theory. Signal/image processing and mathematical modelling of NMR datasets.

Jun 2015 - Apr 2019

Research Fellow

Greater Boston Area

Post-doctoral research fellow. Signal processing, simulation, statistical data analysis, mathematical optimization. Development of new nuclear magnetic resonance (NMR) methods.

Jun 2014 - Jun 2015

Teaching Fellow

Cambridge, MA

Classes, lectures, grading, office hours, design of content, creation of homework assignments and exam questions.-Applied Math 105b: Ordinary and Partial Differential Equations-Engineering Sciences 201: Decision Theory (graduate level class)-Engineering Sciences 155: Biological Signal Processing-Engineering Sciences 170: Applied Quantum MechanicsI was.

Jan 2011 - May 2014

Phd Candidate

Cambridge MA

My doctoral research was in nuclear magnetic resonance (NMR) pulse design and optimization. I was supervised by Prof. Gerhard Wagner (Harvard Medical School).

Aug 2009 - May 2014

Summer Research Student

Canberra, Australia

Summers (Nov-Feb) 05-06, 07-08 and 08-09.Investigation of a near-optimal non-linear filtering problem (led to a publication).Analysis of a non-linear filter applied to an unmanned fixed wing aircraft (led to a publication).Research in quantum control theory (led to an honours thesis project).Design and implementation of electrical components for the ANU.

Nov 2005 - Feb 2009

Aps2 Officer

Canberra, Australia

Administration for the Business Statistics Unit (part-time during full-time study).

Apr 2007 - Dec 2008
Team & coworkers

Colleagues at Q-CTRL

Other employees you can reach at q-ctrl.com. View company contacts for 42 employees →

4 education records

Paul Coote education

Master Of Science (M.S.), Engineering

Control and decision theory, quantum mechanics, nuclear magnetic resonance, MRI, computer vision.

Bachelor Of Engineering (B.Eng.), Mechatronics

First Class Honours, Dean's Prize GPA: High distinction. Systems and control, robotics, quantum technology, computer vision. Honours.

Bachelor Of Arts (B.A.), Philosophy

GPA: High distinction. Philosophy of language, philosophy of science, analytical philosophy, logic.

FAQ

Frequently asked questions about Paul Coote

Quick answers generated from the profile data available on this page.

What company does Paul Coote work for?

Paul Coote works for Q-CTRL.

What is Paul Coote's role at Q-CTRL?

Paul Coote is listed as Lead Scientist at Q-CTRL at Q-CTRL.

What is Paul Coote's email address?

AeroLeads has found 1 work email signal at @q-ctrl.com for Paul Coote at Q-CTRL.

Where is Paul Coote based?

Paul Coote is based in United States, United States, United States while working with Q-CTRL.

What companies has Paul Coote worked for?

Paul Coote has worked for Q-Ctrl, Dana-Farber Cancer Institute, Nmx Research And Solutions Inc, Harvard Medical School, and Harvard University.

Who are Paul Coote's colleagues at Q-CTRL?

Paul Coote's colleagues at Q-CTRL include Gavin Hartnett, Donald White, Shobhan Kulshreshtha, Karan Gill, and Albert Benseny Cases.

How can I contact Paul Coote?

You can use AeroLeads to view verified contact signals for Paul Coote at Q-CTRL, including work email, phone, and LinkedIn data when available.

What schools did Paul Coote attend?

Paul Coote holds Doctor Of Philosophy (Phd), Engineering from Harvard University.

What skills is Paul Coote known for?

Paul Coote is listed with skills including Matlab, Quantum Mechanics, Decision Theory, Statistical Data Analysis, Signal Processing, Research And Development, Writing, and Machine Learning.

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