Microsoft is looking for exceptional candidates for 12-week internships in engineering tasks such as tools development and programming. Positions are available beginning in spring/summer/fall of 2020. Read more and apply here.
Microsoft is seeking exceptional candidates for 12-week internships in research areas such as quantum algorithms and quantum fault-tolerance. Positions are available beginning in spring/summer/fall of 2020. Read more and apply here.
The ECE Department (http://www.engineering.pitt.edu/ECE/) at the University of Pittsburgh (Pitt) invites applications for two tenure-stream (TS) positions as Assistant Professor in the field of computer engineering, with one in computing, sensing, and electronics for aerospace systems, or reconfigurable and high-performance computing, and the other in neuromorphic computing, or quantum computing, or embedded computing and sensing in medical apps, as well as related specialties. The expected start date is Sept. 1, 2020.
Turbulence in fluid mechanics has been a scientific challenge since at least the 16th century when Leonardo da Vinci sketched the chaotic movements of water flowing around obstacles in the Arno River. It is regularly described as one of the last unsolved problem of classical physics – a solution to the Navier-Stokes equation, the mathematical underpinning of turbulence, was declared a Millennium Prize Problem by MIT’s Clay Mathematics Institute in 2000. The $1 million prize remains unclaimed in 2019.
Pitt researcher Peyman Givi hopes to confront that centuries-old challenge with the power of a new generation of computing. He and a team developed an algorithm capable of using quantum computing to model turbulence at an unprecedented level of detail.
Givi, Distinguished Professor of mechanical engineering and materials science, explains the importance of turbulence. “Turbulence is central to the efficiency of fuel. Turbulence enhances mixing – more mixing creates more reactions and more reactions mean more power. No turbulence, little reaction, little power.”
The challenge of modeling turbulence is evident in the Da Vinci drawings. “We create simulations of eddies – the swirling wheels and whirls and vortices of all sizes you see in the drawings. Fluid mechanics is composed of very large differences in scales. If for example you calculate drag on an airplane wing [fluid mechanics involves both liquids and gases], the largest scale is the entire wing, the smallest scale is close to nanometers. A grid big enough to take in all the scales together won’t fit on a computer. So we simulate the largest part – I don’t need to resolve the smallest scale to model the effects. But the model is not an exact science – you are introducing art into science.”
The science may become more exact using quantum computing. Givi is co-author on a May 2019 paper in the journal Combustion Theory and Modelling – “Quantum algorithm for the computation of the reactant conversion rate in homogeneous turbulence” – presenting an algorithm for predicting the rate of reaction in simulated turbulence and exploring the potential for applications of quantum technology to fluid dynamics and combustion problems. Citing the rapid progress in the development of quantum computing hardware, the paper posits the importance of designing algorithms now that could eventually run on that hardware – “quantum algorithm with a real engineering application.”
The 3.5-day Spring school will bring TCS researchers up to speed on the current excitement in quantum computing. The past decade had marked tremendous experimental progress, from one or two-qubit devices to dozens of qubits and more. What are the theoretical models for such devices, and what are their prospects? Can they be classically simulated, and if not, can they accomplish algorithmic speed-ups? What are the obstacles to full-blown fault-tolerant quantum computation? And what does all this tell us about complexity theory, cryptography, and quantum information?
The International Conference on Quantum Communication, Measurement and Computing (QCMC) was established in 1990 to encourage and bring together scientists and engineers working in the interdisciplinary field of quantum information science and technology.
To date, thirteen such meetings have been held and the fourteenth is being organized by Quantum Science and Technologies Group (QST), Louisiana State University on March 12-16, 2018. QST group conducts research on atomic, molecular, and optical physics, the foundations of quantum mechanics, photonic band gap and meta materials, quantum information theory, quantum complexity theory, quantum error correction, quantum optics, optical quantum computing, quantum sensors, quantum imaging, and relativistic quantum information theory. It collaborates with a number of university and industrial research groups around the world, and we receive financial support for our research from a number of sources.
The Quantum Computing Summer School is an immersive 10-week curriculum that includes tutorials from world-leading experts in quantum computation as well as one-on-one mentoring from Los Alamos National Laboratory (LANL) staff scientists who are conducting cutting-edge quantum computing research. Summer school fellowship recipients will be exposed to the theoretical foundations of quantum computation and will become skilled at programming commercial quantum computers, such as those developed by D-Wave Systems and IBM. Ten students will be awarded a fellowship from LANL that covers travel, living expenses in Los Alamos, and salary, with a fellowship value ranging from $7,500 to $13,000, based on academic rank (junior, senior, 1st year graduate student, etc.).
This solicitation describes an Ideas Lab focused on the Practical Fully-Connected Quantum Computer (PFCQC) challenge. Ideas Labs are intensive meetings that bring together multiple diverse perspectives to focus on finding innovative cross-disciplinary solutions to grand challenge problems. The ultimate aim of this Ideas Lab is to facilitate the development and operation of a practical-scale quantum computer. The aspiration is that bringing together researchers from diverse scientific backgrounds will engender fresh thinking and innovative approaches that will provide a fertile ground for new ideas on the design and fabrication of quantum devices and processors and implementation of quantum information processing algorithms. This will enable the solution of science problems that are currently beyond the reach of modern high-performance computing applications on classical computers. U.S. researchers may submit preliminary proposals for participation in the Ideas Lab only via FastLane. The goal is to form teams of domain scientists and engineers that will develop multidisciplinary ideas that eventually will be submitted as full proposals
The U.S. Army Research Office (ARO) in collaboration with the Laboratory for Physical Sciences (LPS) is soliciting proposals for research in two focused topic areas: (A) new and emerging qubit science and technology (NEQST) and (B) cross quantum technology systems (CQTS).
NEQST focuses on qubit systems that explore new operating regimes and environments, fundamentally new methods of fabrication, and new methods of design, control, or operation. These explorations should have in mind the development of quantum computation where the novel properties of these systems create significant advantages in coherence, fabrication, and/or qubit operation over current state-of-the-art qubits. While NEQST focuses on developing new qubit and quantum gate technologies, CQTS focuses on combining existing disparate quantum technologies to provide functionality that significantly improves the performance of, or adds capability to, any of the individual qubit types. Topics of particular interest are quantum state transfer (e.g. microwave-to-optical), novel classical control paradigms, and quantum memories. (Note: this BAA is concerned only with the circuit model of quantum computation)