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meQuanics - QSI@UTS Seminar Series - S10 - Marissa Giustina (Google)

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Manage episode 305948168 series 1277392
Content provided by meQuanics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by meQuanics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series. With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk. I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense.

https://youtu.be/yAUSMUYfXlU

So you want to build a useful quantum computer… where to begin?!

TITLE: Building Google’s Quantum Computer

SPEAKER: Dr Marissa Giustina

AFFILIATION: Google AI Quantum, Google Research, CA, USA

HOSTED BY: A/Prof Nathan Langford, UTS Centre for Quantum Software and Information

ABSTRACT: The Google AI Quantum team develops chip-based circuitry that one can interact with (control and read out) and which behaves reliably according to a simple quantum model. Such quantum hardware holds promise as a platform for tackling problems intractable to classical computing hardware. While the demonstration of a universal, fault-tolerant, quantum computer remains a goal for the future, it has informed the design of a prototype with which we have recently controlled a quantum system of unprecedented scale. This talk introduces Google’s quantum computing effort from both hardware and quantum-information perspectives, including an overview of recent technological developments and some recent results.

RELATED ARTICLES: Quantum supremacy using a programmable superconducting processor:

  continue reading

82 episodes

Artwork
iconShare
 
Manage episode 305948168 series 1277392
Content provided by meQuanics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by meQuanics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series. With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk. I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense.

https://youtu.be/yAUSMUYfXlU

So you want to build a useful quantum computer… where to begin?!

TITLE: Building Google’s Quantum Computer

SPEAKER: Dr Marissa Giustina

AFFILIATION: Google AI Quantum, Google Research, CA, USA

HOSTED BY: A/Prof Nathan Langford, UTS Centre for Quantum Software and Information

ABSTRACT: The Google AI Quantum team develops chip-based circuitry that one can interact with (control and read out) and which behaves reliably according to a simple quantum model. Such quantum hardware holds promise as a platform for tackling problems intractable to classical computing hardware. While the demonstration of a universal, fault-tolerant, quantum computer remains a goal for the future, it has informed the design of a prototype with which we have recently controlled a quantum system of unprecedented scale. This talk introduces Google’s quantum computing effort from both hardware and quantum-information perspectives, including an overview of recent technological developments and some recent results.

RELATED ARTICLES: Quantum supremacy using a programmable superconducting processor:

  continue reading

82 episodes

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