Lawrence Livermore National Laboratory

CASIS Presents a Eight-part Lecture Series
Quantum Sensing and Information Processing

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Quantum information processing and sensing systems are becoming increasingly important technologies:
  • Quantum computing could be the next revolution in computing technology. Applications include optimization, quantum chemistry, material science, cryptography and machine learning.
  • Quantum sensing could have far reaching impact on positioning, navigation and timing, enabling GPS-free positioning and long distance inertial navigation.
  • Congress recently passed the National Quantum Initiative Act, funding $1.2B to NSF and DOE for research
  • Lots of research activity in government, industry and academia.
  • LLNL has funded many LDRDs exploring quantum technologies over the past several years.

Quantum information and sensing technologies are entering a period of rapid growth and discovery. This series of hour-long lectures is designed to provide an introduction to a range of topics in quantum information and sensing. The lecture series consist of two parts spread over nine lectures (see detailed outline below):

  • Quantum devices, control and interfacing to these devices, and how errors are modeled in quantum systems
  • Applications of quantum information processing and sensing including: quantum computing and algorithms, sensing with quantum devices, and quantum communications

Learn about the fundamentals of these technologies, research directions, and how to separate reality from all the hype.

Detailed knowledge of quantum mechanics is not required for these lectures. Necessary background will be provided as needed.

Lecture dates, times and locations will be announced in Newsline.

This lecture series is sponsored by the Center for Advanced Signal and Image Sciences and the Engineering Directorate.

For more information on this workshop, please contact Randy Roberts at


Introduction and Overview

Lecturers: Jonathan DuBois and Steve Libby

Tuesday, May 7th at 2:00, B453 R1001, Armadillo Room

View introduction/overview slides

  1. What’s the big deal about Quantum Information and Sensing?
    1. Computational speedup: Factoring large numbers with Shor’s algorithm
    2. Position, Navigation and Timing―how much better can it be over conventional approaches
  2. National Quantum Initiative Act
  3. DOE/NNSA’s interest
  4. LLNL’s Strategy and LDRD investments

Quantum Devices ― Focus on LLNL Research

Lecturers: Jonathan DuBois and Steve Libby

Thursday, May 30th at 2:00, B453 R1001, Armadillo Room

View quantum devices slides

  1. Superconducting
  2. Neutral atom
  3. Ion trap
  4. If time permits: Quantum dots, Photonic, Nuclear Magnetic Resonance

Sensing with Quantum Devices

Lecturers: Steve Libby and Dave Chambers

Thursday, June 27th at 2:00, B543 Auditorium, R1001     

View sensing with quantum devices slides

  1. Sensors
    1. Gravity gradiometry
    2. Positioning, Navigation and Timing
    3. Dark matter detection
  2. Algorithms for processing data from these sensors

Quantum Computers

Lecturer: Jonathan DuBois

Tuesday, July 23rd at 2:00, B543 Auditorium, R1001

View quantum computers slides

  1. How to build a quantum computer
  2. Quantum error correction–why it’s needed to get quantum computers to work
  3. Quantum computers that are available right now: IBM Q, D-Wave.

Quantum Computing Algorithms

Lecturer: Andreas Baertschi (LANL)

Wednesday, July 31st at 2:00 and Thursday, August 1st at 2:00; B543 Auditorium, R1001

Dr. Baertschi’s lectures are co-sponsored by the Advanced Simulation and Computing Program (LANL) and the Center for Applied Scientific Computing (LLNL).

View Part 1 Slides  View Part 2 Slides

  1. Quantum gates and circuits–how quantum algorithms are expressed
  2. Grover’s and Shor’s algorithm
  3. Simulating physical systems
  4. Linear algebra algorithms

Useful Links:

Quantum Radar

Lecturer: Matthew Horsley

Thursday, August 22nd at 2:00, B543 Auditorium, R1001

View quantum radar slides

  1. Quantum Remote sensing
    1. Quantum hypothesis test
  2. Entanglement
    1. Generation
    2. Propagation
  3. Detection
    1. Optimal
    2. Sub-optimal
  4. Performance

Error Modelling

Lecturer: Steve Libby

Date: Thursday, September 26th at 2:00, B543 Auditorium, R1001

View error modelling slides

  1. Impact of quantum and control noise
  2. Error budgets