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Simple Implementation of Quantum Bits in Silicon by Decoupling them in Space and Time

Nagi Mekhiel · CERN

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About

Research in quantum computing is very important to develop applications for medicine, business, trade, environmental and national security purposes. Today's physical quantum computers suffers from noise and the difficulty of correcting the quantum errors.

The complexity of implementing Quantum bits is reduced by decoupling each Q bit and map it either in time or Space. Classical deterministic values of each bit is provided by the system in space and time such that all combination of Q-words becomes available from the system by probing multiple signals in parallel for bits mapped to space and after waiting for the time that allows the bits mapped to time to become available.

The complexity of implementing 20 Q-bit in our system requires only 500 transistors to map 10 bits in time, and 10 bits in space. The time needed for all values of 20 Q-bit is 250 ns if using 4 GHz technology. For 50 Q-bit the mapping in time and space requires 1200 transistors. The time needed for producing all the values of 50 Q bits is 8 ms.

We plan to implement Quantum Computing Qbits in FPGA then develop applications and algorithms suitable for this implementation technology. A number of simple processors will be used as in GPU architecture to probe the Q-bits implemented in FPGA, in parallel space and a host processor to manage applications and collect results..

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The talk

  1. Simple Implementation of Quantum Bits in Silicon by Decoupling them in Space and Time 2019-09-26 · 15 min · CERN's player

Credits and licence

Institution
CERN
Department
other events or meetings
Speaker
Nagi Mekhiel
Year
2019
Language
English
Subjects
Physics, Astronomy and space
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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