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I'm slightly disappointed this book doesn't cover quantum computing -- which nowadays seems like a central part of quantum information. Any comprehensive resour

I'm slightly disappointed this book doesn't cover quantum computing -- which nowadays seems like a central part of quantum information. Any comprehensive resources to learn fundamentals of quantum computing? (without delving too deeply into particular applications)

jessriedel 8y ago
Nielsen and Chuang is still canonical, albeit a little out of date. Has all the basics, and it's extremely well written.
- vturner 8y ago
  Also becoming curious in quantum computing again (the current wave in classical software development is depressing IMHO so looking for an alternative for the futre). I read a good portion of Quantum Computing for Computer Scientists as an undergrad studying physics for a paper, but in searching for new texts, most people point to Nielsen and Chuang yet comment it is dated. Any good literature reviews out there to consider to get the new content Nielsen and Chuang don't have (while studying the Chuang's book as well)?
  - jessriedel 8y ago
    No, sorry, it's not really my field. However, my impression is that the results in Nielsen and Chuang haven't been superceded or anything, it's just that there's just more built on top of them. In other words, I think you're fine reading that cover-to-cover and worrying about further reading afterwards.
ivan_ah 8y ago
Quantum computing is still in the physical research phase, and it's not clear which qubit implementation will work and be scalable. It would be cool to see recent review papers and comparisons of current approaches, but I can't point you to any such. On the theory side, the gate model is the standard approach for thinking about quantum computing and Nielsen and Chuang does a good job at covering it. If you need something more basic (to bring you up to speed), you can check out Ch9 in my book, which is an intro to Dirac notation and the quantum gate model: https://minireference.com/static/excerpts/noBSguide2LA_preview.pdf#page=125 https://minireference.com/static/excerpts/noBSguide2LA_previ...

jessriedel 8y ago

Nielsen and Chuang is still canonical, albeit a little out of date. Has all the basics, and it's extremely well written.

vturner 8y ago
Also becoming curious in quantum computing again (the current wave in classical software development is depressing IMHO so looking for an alternative for the futre). I read a good portion of Quantum Computing for Computer Scientists as an undergrad studying physics for a paper, but in searching for new texts, most people point to Nielsen and Chuang yet comment it is dated. Any good literature reviews out there to consider to get the new content Nielsen and Chuang don't have (while studying the Chuang's book as well)?
- jessriedel 8y ago
  No, sorry, it's not really my field. However, my impression is that the results in Nielsen and Chuang haven't been superceded or anything, it's just that there's just more built on top of them. In other words, I think you're fine reading that cover-to-cover and worrying about further reading afterwards.

ivan_ah 8y ago

Quantum computing is still in the physical research phase, and it's not clear which qubit implementation will work and be scalable. It would be cool to see recent review papers and comparisons of current approaches, but I can't point you to any such. On the theory side, the gate model is the standard approach for thinking about quantum computing and Nielsen and Chuang does a good job at covering it. If you need something more basic (to bring you up to speed), you can check out Ch9 in my book, which is an intro to Dirac notation and the quantum gate model: https://minireference.com/static/excerpts/noBSguide2LA_preview.pdf#page=125 https://minireference.com/static/excerpts/noBSguide2LA_previ...