Quantum Computing Within the Framework of Advanced Semiconductor Manufacturing
conference paper
Clarke, J.S.
Thomas, N.
Roberts, J.
Pilliarisetty, R.
Yoscovits, Z.
Caudillo, R.
George, H.
Singh, K.J.
Michalak, D.
Amin, P.
Mei, A.
Bruno, A.
Poletto, S.
Boter, J.
Droulers, G.
Kalhor, N.
Samkharadze, N.
Dehollain, J.P.
Yeoh, L.
Sammak, A.
Scappucci, C.
Veldhorst, M.
DiCarlo, L.
Vandersypen, L.M.K.
Thomas, N.
Roberts, J.
Pilliarisetty, R.
Yoscovits, Z.
Caudillo, R.
George, H.
Singh, K.J.
Michalak, D.
Amin, P.
Mei, A.
Bruno, A.
Poletto, S.
Boter, J.
Droulers, G.
Kalhor, N.
Samkharadze, N.
Dehollain, J.P.
Yeoh, L.
Sammak, A.
Scappucci, C.
Veldhorst, M.
DiCarlo, L.
Vandersypen, L.M.K.
Quantum computing holds the promise of exponential speedup compared to classical computing for select algorithms and applications. Relatively small numbers of logical quantum bits or qubits could outperform the largest of supercomputers. Quantum dots in Si-based heterostructures and superconducting Josephson junctions are just two of the many approaches to construct the qubit. These, in particular, bear similarities to the transistors and interconnects used in advanced semiconductor manufacturing. While initial results on few-qubit systems are promising, advanced process control is expected to improve the qubit uniformity, coherence time, and gate fidelity needed for larger systems. This can be realized through the systematic characterization of film growth, interface control, and patterning.
TNO Identifier
875518
ISSN
2156-017X
Publisher
IEEE
Source title
IEEE International Electron Devices Meeting, IEDM 2016, 3-7 December 2016, San Fransisco, CA, USA
Collation
3 p.
Pages
330-332
Files
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