Join us for the operational launch event of the Open Quantum Institute (OQI) – a new, three-year CERN-based programme that will help to unleash the full power of quantum computing for the benefit of all.
Hosted at CERN, born at GESDA, supported by UBS, the OQI is a collaborative initiative that
Start date
05 March, 2024
Operational launch of the Open Quantum Institute
Start date
05 March, 2024
Quantum steampunk: Quantum information meets thermodynamics
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On 17 November, join us for the special edition of the CERN QTI lecture series featuring Dr Nicole Yunger Halpern, theoretical physicist at the National Institute of Standards and Technology (NIST), fellow of the Joint Center for Quantum Information and Computer Science, and adjunct assistant
Start date
17 November, 2023
Quantum steampunk: Quantum information meets thermodynamics
In the past decades, numerous experiments have emerged to unveil the nature of dark matter (DM), one of the most discussed open questions in modern particle physics. Direct detection experiments aim to measure the scattering
Start date
07 June, 2023
Direct detection of light dark matter with superconducting thermometers
Start date
07 June, 2023
IBM Quantum Platforms: A Quantum Battery Perspective
In the last few years, the progressive miniaturisation of devices has approached the size of atoms and molecules. The study of these quantum systems out of equilibrium contributed to the advancement of quantum thermodynamics
Start date
17 May, 2023
IBM Quantum Platforms: A Quantum Battery Perspective
Large-scale numerical simulations of the Hamiltonian dynamics of a Noisy Intermediate Scale Quantum (NISQ) computer - a digital twin - could play a major role in developing efficient and scalable strategies for tuning quantum
Start date
19 April, 2023
Ab-initio two-dimensional digital twin for quantum computer benchmarking
Start date
19 April, 2023
Stochastic quantum simulations for scattering experiments
Simulating many-body quantum systems is a promising task for quantum computers. However, early fault-tolerant devices are not expected to correct arbitrary amounts of error, making the quest for better algorithms an important
Start date
05 April, 2023
Stochastic quantum simulations for scattering experiments
The representation of data is of paramount importance for machine learning methods. Kernel methods are used to enrich the feature representation, allowing better generalisation. Quantum kernels implement efficiently complex