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Department of Physics
Technical University of Denmark (DTU)
Denmark
Talk title:
Dieter Schwarz Endowed Professor in Quantum Sovereignty and Resilience (QUASAR)
Nanyang Technological University
Singapore
Talk title: Recent development of quantum entangled source with 2D materials
A*STAR Chief Quantum Scientist
A*STAR Quantum Innovation Centre (Q.InC)
Singapore
Talk title:
Provost's Chair Professor,
Faculty of Science
National University of Singapore
Talk title:
Chaiman, Department of Photo-Molecular Science
Institute for Molecular Science
Institute for Molecular Science
Okazaki, Japan
Talk title: Ultrafast Quantum Computing with Ultracold Atom Arrays at Quantum Speed Limit
Director, Center for Quantum Science and Technology (CQST)
ITER-SOA University
Bhubaneswar, India
Talk title:
Director, Center for Quantum Devices
Northwestern University, USA
Talk title: Quantum and Nonlinear Optics; From Atomic-Scale Light Control to Intelligent Quantum Systems Across the Cosmos
University Distinguished Professor, Munnerlyn/Heep Endowed Chair in Quantum Optics
Texas A&M University
USA
Talk title:
invited Plenary : Gerard Mourou, Ferenc Krausz & Anne L'Huillier & the strong field community
Invited Speakers
Invited Speakers
Prof Hichem Eleuch
Title: The Next Generation of Quantum Computer: A Blueprint of Quantum Processor Based on Quansistors
Abstract:
In this talk, I present a blue print of a scalable quantum processor employing four-level cores with discrete rotational symmetry (more specifically, we employed the ω-rotation invariance), which may be realized, for instance, by connecting four quantum dots. 'Quansistor' creates a four-level quantum system that makes it possible to realize universal quantum gates using two qubits. Significant resilience against errors was noted.
We have demonstrated that the symmetry provides resistance to decoherence and protects the logical processes inside the quansistors from unbiased noise. Additionally, these cores are programmable quantum memory units due to their adjustable nature. In contrast to qubit technology, this work emphasizes that quantum computations based on quansistors with specific symmetry are more resilient to quantum errors and decoherence, serving as a model for scalable quantum computers. Customizable quantum circuits that could be used in a hybrid quantum machine learning model could be enabled by quansistor complete adjustment.
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