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Wed, Jul 17, 2019 @ 06:00 PM   FREE   WeWork, 200 Broadway
 
     
 
 
              

      
 
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LOCATION
EVENT DETAILS
Our next meetup will be from 6-8pm on July 17, 2019 at Deutsche Bank Innovation Labs NY.

Please arrive before 6 PM as the building closes at 6 PM & it will be difficult letting people in afterwards. DB Innovation Labs NY is located inside of WeWork Fulton Center on 200 Broadway (off Broadway between John & Fulton).

Once you arrive at Fulton Center, take the elevators located near Irving Farm Coffee to the 3rd floor of Wework where you will sign in. Please have your ID ready to check in with the front desk. If you are checking in manually on the iPad, please choose Cindy Lieu or Karen Wang as the Host. After signing in, you will be directed to the 8th floor Labs.

Abstract for Talk 1 : Qubit Allocation for Noisy Intermediate-Scale Quantum Computers
In the era of noisy-intermediate-scale quantum computers, we expect to see quantum devices with increasing numbers of qubits emerge in the foreseeable future. To practically run quantum programs, logical qubits have to be mapped to the physical qubits by a qubit allocation algorithm. However, on present day devices, qubits differ by their error rate & connectivity. Here, we establish & demonstrate on current experimental devices a new allocation algorithm that combines the simulated annealing method with local search of the solution space using Dijkstra's algorithm. Our algorithm takes into account the weighted connectivity constraints of both the quantum hardware & the quantum program being compiled. New quantum programs will enable unprecedented developments in physics, chemistry, & materials science & our work offers an important new pathway toward optimizing compilers for quantum programs. The paper can be found here: https://arxiv.org/abs/1810.08291

Abstract for Talk 2 : Introducing Control Flow in Qubit Allocation for Quantum Turing Machines
Different platforms for quantum computation are currently being developed with a steadily increasing number of physical qubits. To make today's devices practical for quantum software engineers, novel programming tools with maximal flexibility have to be developed. In addition to the flow of data, control flow also needs to be considered to extend the applicability of quantum computers to more complex computational problems. In this work, we introduce a framework to reconcile the non-deterministic properties of quantum control flow when allocating logical qubits from a given quantum circuit to a specific NISQ device in the pre-processing, commonly called compiling, stage. We consider the respective connectivity & fidelity constraints, with the goal of reducing the expected error rate of the computation. This work will allow for quantum developers & NISQ devices together to more efficiently exploit the compelling algorithmic power that the quantum Turing machine model provides.

The speakers: :

Will Finigan is a rising senior at Harvard College studying Computer Science with a background in classical algorithms as well as machine learning. He is applying a classical computing background to the field of Quantum Computing to make near-term quantum devices more usable & accessible.

Michael Cubeddu is a rising senior concentrating in Computer Science with a secondary in Statistics at Harvard College. His academic background & interests lie in theoretical computer science, algorithmic development/complexity, & their intersections with Quantum Information Science.

Both speakers are undergraduate researchers in NarangLab, board members of the Harvard College Quantum Computing Association, & co-Founders of Aliro Technologies.
 
 
 
 
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