This week’s episode is a bit of a diversion from our normal podcasting topics. In episode #47 (Enterprise Storage is not Boring), we mused as to how quantum computers use data. With no real knowledge between us, we asked for listeners to help us out. As a result, we’re joined in this episode by Scott Crowder, Vice President & CTO, Quantum Computing, Technical Strategy & Transformation, IBM Systems. That’s a long job title, Scott!
During the show we try and get to the bottom of what quantum computing really means. What niche does it serve? What does a quantum computer look like? How do I program it? We also ask the ever present question on encryption and whether quantum will break all of our secure transmission protocols.
As for the question on data, it seems quantum computing is more mundane in the storage area than expected. We can expect classic computers to be around for a long time to do the traditional number crunching.
The podcast references number of items, including: vector co-processors for mainframe, Grover’s Algorithm, rotating wave approximation, Shor’s Algorithm and of course links to IBM’s Q Experience and the Q Network.
Elapsed Time: 00:27:01
- 00:00:00 – Intros.
- 00:00:30 – What is Quantum Computing?
- 00:02:40 – Quantum Mechanics – Superposition and Entanglement.
- 00:05:00 – It’s all about solving exponentially hard problems.
- 00:05:16 – Some examples, factoring, quantum chemistry, travelling salesman.
- 00:07:00 – What does entanglement mean?
- 00:08:00 – What is a qubit?
- 00:11:25 – What does a quantum computer actually look like?
- 00:13:00 – Programming with Python! With a classic and quantum mix.
- 00:15:00 – But how do we actually measure the result of an execution of code?
- 00:19:00 – How does this relate to storage, data and practical applications?
- 00:22:00 – How will Quantum Computing impact encryption?
- 00:24:20 – What is IBM using Quantum Computing for today?
- 00:26:00 – Wrap Up.