Bram Evert
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Bram Evert Email & Phone Number

Lead Research Scientist, Quantum Advantage at Rigetti at Rigetti Computing
Location: Lisbon, Lisbon, Portugal 11 work roles 2 schools
1 work email found @rigetti.com 1 phone found area 514 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email b****@rigetti.com
Direct phone (514) ***-****
LinkedIn Profile matched
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Current company
Role
Lead Research Scientist, Quantum Advantage at Rigetti
Location
Lisbon, Lisbon, Portugal
Company size

Who is Bram Evert? Overview

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Quick answer

Bram Evert is listed as Lead Research Scientist, Quantum Advantage at Rigetti at Rigetti Computing, a company with 116 employees, based in Lisbon, Lisbon, Portugal. AeroLeads shows a work email signal at rigetti.com, phone signal with area code 514, and a matched LinkedIn profile for Bram Evert.

Bram Evert previously worked as Lead Research Scientist, Quantum Advantage at Rigetti Computing and Senior Researcher - Quantum Advantage at Rigetti Computing. Bram Evert holds Master Of Science (M.Sc.), Physics from Mcgill University.

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Email format at Rigetti Computing

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{first_initial}{last}@rigetti.com
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Profile bio

About Bram Evert

I'm a physicist focused on implementing algorithms on experimental quantum computers. To do this, I write code to implement algorithms, benchmark near-term device and apply error mitigation techniques found in research literature. In addition to providing convincing demonstrations of the utility of quantum computing, these experiments provide a useful set of benchmarks and feedback for further hardware development.

Listed skills include Physics, Matlab, Semiconductors, Python, and 2 others.

Current workplace

Bram Evert's current company

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Rigetti Computing
Rigetti Computing
Lead Research Scientist, Quantum Advantage at Rigetti
berkeley, california, united states
Website
Employees
116
AeroLeads page
11 roles

Bram Evert work experience

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

Lead Research Scientist, Quantum Advantage

Current

Vancouver, British Columbia, Canada

  • Rigetti is a full-stack quantum computing company providing superconducting-qubit-based quantum computers and the software to use them.
  • Developing and applying error mitigation techniques: Randomized Compiling, Expectation Value Rescaling, Measurement Error Mitigation, Dynamical Decoupling and targeted cycle calibration.
  • Development of a python library for implementing benchmarking, error mitigation, calibration and compilation techniques as reproducible experimental pipelines.
  • Close collaboration with the hardware team to reduce errors, develop native-gate sets suitable for target algorithms, and share software.
Jan 2023 - Present

Senior Researcher - Quantum Advantage

Current

Vancouver, British Columbia, Canada

May 2021 - Present

Senior Applied Researcher

Zepp

Vancouver, British Columbia, Canada

Huami is a leading manufacturer of wearable and medical devices. As part of the New Technology Exploration group, I created machine-learning models to determine physiological states from sensor measurements and explored new applications. Developed models and signal processing algorithms to predict physiological states Applied gradient-boosting, sequence.

Apr 2020 - May 2021

Senior Experimental Physicist

Vancouver, Canada Area

  • D-Wave is the leader in the development and delivery of quantum computing systems, software, and services and is the world’s first commercial supplier of quantum computers.
  • Performed calibration of quantum processors - this is a process of measuring over 100,000 individual components and modelling the data to extract physical parameters
  • Developed and maintained the 580,000-line calibration codebase with a team of physicists and software developers
  • Improved processor performance on non-convex optimization problems by using feedback to avoid critical anti-crossings in the problem energy spectrum
  • Led a collaborative project to create a lab database which systematically tracks hardware configurations, thereby reducing errors and automating workflows
  • Used python with jupyter notebooks to create data mining and visualization pipelines
Mar 2019 - Jan 2020

Research Engineer

Montreal, Canada Area

ThermoCeramix was a company that developed a process for depositing electrical heating elements with unique physical properties, such as durability and conduction. As a research engineer, I was responsible for characterizing the product and understanding the physics of the plasma-based process. I developed new systems to automate data collection and used.

Jan 2014 - Feb 2015

Graduate Research Assistant

Montreal, Canada Area

My research was in the area of one dimensional systems, where strong electron-electron interactions conspire to create a remarkable new state of matter, applicable to quantum computing. In pursuit of measuring this elusive state, I performed measurements using low-noise electronics at cryogenic temperatures. I developed software in python to collect.

Sep 2011 - Dec 2013

Undergraduate Research Assistant

Hamilton, Ontario

Soft Condensed Matter Group, Supervisor — Dr. Kari Dalnoki-Veress. I designed, built and tested an automated 'bead crusher' to determine the mechanical properties of chemical beads that were intended as a new method of drug delivery.

Apr 2011 - Aug 2011

Undergraduate Research Assistant

Hamilton, Ontario

Silicon Photonics Group, Supervisor — Dr. Peter Mascher- Performed product research and development for Group IV Semiconductor. Created new materials using PECVD to be used in silicon-based lighting- Utilized statistical tools in Matlab to model parameter space, achieving accurate predictions of sample composition- Built a process analyzer for in situ.

Apr 2010 - Aug 2010

Undergraduate Research Assistant

Hamilton, Ontario

Silicon Photonics Group, Supervisor — Dr. Peter Mascher- Developed prototype samples for electroluminscent silicon nanocrystal samples- Analyzed and interpreted data using Matlab- Developed a procedure for creating transparent contacts on thin films- Took initiative to refit a discarded sputtering system to operational status

Apr 2009 - Aug 2009

Production Engineering Intern

Calgary, Alberta

- Performed data entry and analysis on well production, characterizing decline rates- Maintained database of daily production records on three oil fields with 40+ wells- Performed numerical analysis on the performance of drilling fluid additives, resulting in savings of up to $20,000 per well

Apr 2008 - Aug 2008
Team & coworkers

Colleagues at Rigetti Computing

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2 education records

Bram Evert education

FAQ

Frequently asked questions about Bram Evert

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

What company does Bram Evert work for?

Bram Evert works for Rigetti Computing.

What is Bram Evert's role at Rigetti Computing?

Bram Evert is listed as Lead Research Scientist, Quantum Advantage at Rigetti at Rigetti Computing.

What is Bram Evert's email address?

AeroLeads has found 1 work email signal at @rigetti.com for Bram Evert at Rigetti Computing.

What is Bram Evert's phone number?

AeroLeads has found 1 phone signal(s) with area code 514 for Bram Evert at Rigetti Computing.

Where is Bram Evert based?

Bram Evert is based in Lisbon, Lisbon, Portugal while working with Rigetti Computing.

What companies has Bram Evert worked for?

Bram Evert has worked for Rigetti Computing, Zepp, D-Wave Systems Inc., Thermoceramix, and Mcgill University.

Who are Bram Evert's colleagues at Rigetti Computing?

Bram Evert's colleagues at Rigetti Computing include Mark Field, Jayss Marshall, Josh Mutus, Geo Plau, and Abdur Rahman.

How can I contact Bram Evert?

You can use AeroLeads to view verified contact signals for Bram Evert at Rigetti Computing, including work email, phone, and LinkedIn data when available.

What schools did Bram Evert attend?

Bram Evert holds Master Of Science (M.Sc.), Physics from Mcgill University.

What skills is Bram Evert known for?

Bram Evert is listed with skills including Physics, Matlab, Semiconductors, Python, Data Analysis, and Lisp.

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