Scaling trapped-ion quantum computers with CMOS-integrated state readout

Quantum information processing (QIP) has emerged as a powerful new computing paradigm as traditional Moore's law scaling slows due to skyrocketing costs of shrinking feature sizes, interconnects becoming the dominant source of energy consumption and delay as transistor critical dimensions fall below 10 nm, and power density limiting the activity factor in digital systems on a chip. Quantum computers use quantum states ("qubits") to store and manipulate information, giving them fundamental performance advantages over classical digital computers in certain applications. Although the feasibility of QIP has been proven for decades using smallscale (. 50 physical qubit) demonstration systems, the main problem is achieving scalability using existing designs.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Kramnik, Danielius.

Advisor dc:contributor.advisor

• Rajeev J. Ram.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/129912

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/129912