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Quantum Control Quantum compiling Algorithms as closed loop control circuits Correcting quantum errors with unitary operations.

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Presentation on theme: "Quantum Control Quantum compiling Algorithms as closed loop control circuits Correcting quantum errors with unitary operations."— Presentation transcript:

1 Quantum Control Quantum compiling Algorithms as closed loop control circuits Correcting quantum errors with unitary operations

2 Shaped Ultrafast Optical Pumping of NMR Systems Jason Taylor / Neil Gershenfeld MIT Media Lab Daniel Morris / Phil Bucksbaum University of Michigan

3 Typical pulse shaper with feedback

4 goals Increase nuclear polarization –Unity polarization would be nice for quantum computers Decrease nuclear polarization –Resetting qubits is necessary for quantum error correction Selectively polarize nuclei

5 NMR & Biology Tools for accessible NMR –Table-top NMR (whole systems, amplifiers) –Automatic shimming Ultimate goal: –Biological structure via NMR Imaging Structure calculations ??

6 Radio Frequency Graphical Models Implemented in Analog Circuits Benjamin Vigoda MIT Media Lab

7 A Spread Spectrum Radio System

8 AFSR Iterative Factor Graph Finds phase of 4 bin, 2 tap LFSR

9 Soft Gates for Coding p z (1) = p x (1) p y (1) p z (0) = p x (0) p y (0) p z (1) = p x (0) p y (1) + p x (1) p y (0) p z (0) = p x (0) p y (0) + p x (1) p y (1) For Binary Symmetric Channel with Hard Decision p z (x=1|y = 0) = p(x=0|y=1) = 1-A p z (x=1|y = 1) = p(x=0|y=0) = A

10 Translinear Multiplier SoftGate Source Referenced Subthreshold MOSFET: I DS = I O e K S V GS /  t (1 – e -V DS /  t ) For understanding circuit, think: I DS = I O e KV GS Circuit Computes: p z (1) = p x (0) p y (1) + p x (1) p y (0) p z (0) = p x (0) p y (0) + p x (1) p y (1)


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