Quantum X Labs

A Lab for Quantum Technologies

Quantum computing is constantly evolving and gaining traction in the industry as it may significantly boost computing performance. However, due to its inherent mechanics, quantum computing and data transfer present new challenges in legacy information technology.

Our Vision

To research and develop quantum computing solutions that will solve some of challenges that Quantum computing evolution will face in the upcoming years.

Core Vision and Objectives

01

Quantum Simulation

We aim to harness the power of quantum computing to model complex systems beyond the reach of classical computers. Our study will enable precise modeling and unfolding of the dynamics of molecular structures and materials by leveraging quantum superposition and entanglement. Key applications include drug discovery, materials science, and advanced simulations in physics and chemistry, driving groundbreaking advancements in research and technology.

02

Quantum Data Processing

We want to utilize quantum computing principles to store, manipulate, and analyze data more efficiently than classical methods. Leveraging quantum superposition, entanglement, and parallelism enables faster computations and improved machine learning. Applications include secure communication, big data analytics, solving complex optimization problems, and advanced AI techniques.

03

Streamlined Quantum Programming

We wish to make quantum computing more accessible and practical by simplifying the effort of the development and execution of quantum algorithms. This is done by optimizing frameworks, tools, and workflows, improving compilers, and enhancing hybrid quantum-classical integration.

04

Quantum imaging

We aspire to use quantum mechanics to enhance the resolution, sensitivity, and precision of imaging systems beyond classical limits. Applications range from biomedical imaging for early disease detection to high-precision remote sensing.

Management

Chief Executive Officer (CEO):
Prof. Nir Sharon

Professor Nir Sharon is an Associate Professor in the Applied Mathematics Department at Tel Aviv University. His research focuses on approximation on manifolds, geometric modeling, applied harmonic analysis, machine learning, and the mathematics of electron microscopy. In addition to his academic contributions, he plays an active role in advancing international research collaborations. Prior to joining Tel Aviv University Prof. Sharon was a researcher at the Program of Applied and Computational Mathematics at Princeton University.

Vice President of Technologies (VP Tech):
Prof. Haim Avron

Professor Haim Avron is a Full Professor in the Applied Mathematics Department at Tel Aviv University.

His research focuses on numerical linear algebra, tensors, machine learning, and quantum computing.

He has an extensive publication record and previously held research positions at IBM's T.J. Watson Research Center.

Directors and Consultants

Director:
Yaki Baranes

Business strategy expert with a demonstrated 15 years history of working with various industries and government entities. Skilled in business strategy planning and implementations on a corporate level and business unit level. Advising to start- up companies in shaping their business plans and supporting their capital raising rounds. Works with privately-held and publicly-traded small and middle-market companies to raise capital and advise on corporate finance transactions (Initial Public Offerings, Follow-On Offerings, PIPE’s/Private Placements and other Cross Border Transactions). Holds a Bachelor of Arts (B.A.) in Economics from the Technion - Israel Institute of Technology and a MBA from Reichman University.