Research

Leading quantum with a purpose

CSU’s Quantum Institute, through the NSF QuBBE project, leads research in quantum sensing, computing, and microelectronics, focusing on engaging underrepresented communities in the field.

As a partner in the NSF QuBBE project, we work closely with the University of Chicago, the Quantum Academy at the University of Illinois, Chicago, and the Louis Stokes Alliance for Minority Participation to find new ways to use quantum technology in biology, and to develop the quantum workforce through STEM education and outreach.

Latest Research

Quantum Entanglement in Biological Systems: A New Frontier This study investigates whether quantum entanglement, a phenomenon where particles are linked no matter how far apart they are, plays a role in biological processes like photosynthesis and enzyme reactions. Read more [linked to www.csu.edu].

The Role of Quantum Tunneling in Next-Generation Transistors This research explores quantum tunneling, a process where a particle can pass through a barrier it shouldn't be able to, to design more efficient and smaller transistors. Read more [linked to www.csu.edu].

A Novel Approach to Quantum Error Correction in Superconducting Qubits This paper proposes a new method to solve errors caused by decoherence, with focus on superconducting qubits, quantum computing, and a new algorithm to make quantum computers more stable and reliable. Read more [linked to www.csu.edu].

Recent Research Articles

2024

(each of these can be linked to www.csu.edu)

• Exploring Quantum Gravity with High-Precision Atomic Clocks
• Quantum Cryptography and its Application in Secure Satellite Communication
• Decoding the Quantum-Classical Boundary in Mesoscopic Systems
• Designing Topological Quantum Materials for Fault-Tolerant Computation
• Quantum Sensing for Medical Imaging: A Path to Unprecedented Resolution
• Simulating Quantum Many-Body Physics with Ultracold Atoms

2023

• The Aharonov-Bohm Effect in Graphene Nanostructures
• Photon-Photon Interactions in Optomechanical Systems
• Quantum Machine Learning for Drug Discovery and Molecular Modeling
• New Insights into Quantum Decoherence and Its Mitigation
• A Theoretical Framework for Time Crystals in Non-Equilibrium Systems
• The Future of Quantum Networking: Towards a Global Quantum Internet