Quantum information represents an entirely new way of representing, communicating, and computing with information. A complete theory of quantum information continues to this day, combining concepts from physics, mathematics, and computer science.
Quantum processing is particularly susceptible to errors, as good qubits and quantum gates must exist in near-perfect isolation. Researchers in the DQC have pioneered the concept of quantum error correction, refined codes especially suited for our atomic qubits, and have implemented aspects of quantum error correction in real systems.
As we grow and scale our systems to larger numbers of qubits and circuit depths, quantum error correction will become very important to reliably execute quantum applications on our machines. This area of research spans pure mathematics and information/coding theory, and also overlaps strongly with many areas of theoretical physics. Indeed, there may be exotic materials that naturally “error correct,” such as topological materials, that can be simulated on our machines.
Recent News
‘More Possibilities Than There Are Particles in the Universe’
Jungsang Kim was a bit of an anomaly at Duke when he joined the faculty in 2004. Fresh out of the telecommunications industry, and with a PhD in physics from Stanford, Kim soon filled his new Duke lab in electrical and computer engineering with delicate, complex constructions marrying physics and engineering: reconfigurable optical systems whose… Read More »‘More Possibilities Than There Are Particles in the Universe’
Marko Cetina: Building Quantum Machines to Understand Physical Processes
In July 2021, Marko Cetina will join Duke University’s Department of Physics as an Assistant Professor. An atomic, molecular and optical physicist, Cetina has used his wide-ranging research in light, lasers and atoms to both explore the basic physics of quantum phenomena and support the development of improved technology necessary for today’s leading quantum machines.… Read More »Marko Cetina: Building Quantum Machines to Understand Physical Processes
Extensible Universal Reconfigurable Ion trap Quantum Archtype (EURIQA)
A team of researchers led by Duke University and the University of Maryland have been tapped by the nation’s own “Q Branch” to take quantum computing efforts to the next level using one of the field’s leading technologies—ion traps. The Intelligence Advanced Research Projects Activity (IARPA) invests in high-risk, high-payoff research programs to tackle some… Read More »Extensible Universal Reconfigurable Ion trap Quantum Archtype (EURIQA)
