Project description
Shining light on new physics phenomena of quantum matter out of equilibrium
Quantum matter refers to states of matter where quantum physics operates on microscopic scales to produce exotic phenomena that bear no similarity to the macroscopic world. Realising novel phases of matter and building reliable quantum computers hinge on the ability to manipulate such quantum matter with high precision. The EU-funded PHASEQUANTROL project will shed new light on newly observed physics phenomena that are also common to macroscopic systems: glassy phases of matter and spontaneous symmetry breaking. The proposed research calls for an unprecedented level of synergy between different disciplines – reinforcement learning, optimal control, condensed matter physics and statistical mechanics. The research will address issues that may seem unrelated to advance our understanding of the dynamics of quantum many-body systems out of equilibrium.
Objective
A particularly useful application of out-of-equilibrium quantum dynamics is the control of quantum matter. High-precision quantum control defines a cutting edge frontier in developing quantum technology: high-fidelity preparation of target states with prescribed properties, experimental studies of novel phases of matter, and reliable quantum computing depend upon our ability to manipulate quantum systems. Recently, it was discovered that optimal quantum control exhibits continuous and discontinuous phase transitions familiar from macroscopic systems: correlated/glassy phases and spontaneous symmetry breaking appear also in the optimization landscape. Despite this progress, much of the physics of this new phenomenon remains unknown.
The objectives of this project are to:
(1) develop theoretical understanding for phase transitions in the optimization landscapes of nonequilibrium quantum control problems, such as quantum state preparation and entanglement reduction;
(2) create a new perspective on quantum many-body control and longstanding optimization problems in many-body physics by investigating the correlations between local minima of the control landscape;
(3) reveal limitations of reinforcement learning and optimal control algorithms in correlated optimization landscapes.
This unconventional approach to quantum control will allow us to quantify the complexity of nonequilibrium control tasks in terms of properties of the underlying phases of control. We will identify common traits in the space of almost-optimal solutions, and use them to investigate features of the controlled physical systems.
The proposed research opens up a new frontier which can point to a mutually beneficial synergy between reinforcement learning, optimal control, condensed matter physics and statistical mechanics. It combines hitherto unrelated concepts to advance our understanding of nonequilibrium quantum many-body dynamics, with applications in ultracold atoms and trapped ions.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences physical sciences condensed matter physics
- natural sciences physical sciences quantum physics
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware quantum computers
- natural sciences physical sciences classical mechanics statistical mechanics
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2019
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1504 SOFIA
Bulgaria
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.