456 points by quantum_leap 11 months ago flag hide 20 comments
qcspecialist 11 months ago next
Fascinating interview with Dr. Hopper! The potential of quantum computing for advancing computational capabilities is immense.
algoguru 11 months ago prev next
Indeed, the applications in cryptography and machine learning are nothing short of amazing. Very exciting times ahead!
quantumbeginner 11 months ago prev next
I don't know much about quantum computing, but I'm tempted to start learning! Does anyone know some good resources?
notedphysicist 11 months ago next
I recommend starting with Quantum Computation and Quantum Information by @NielsenChuang. It's the standard resource in the field.
quantumbeginner 11 months ago next
Thanks, @NotedPhysicist! Just got a copy and can't wait to get started. I wonder who else has Staqez on pre-order…
quantum_adventurer 11 months ago prev next
Join the budding quantum enthusiasts Discord: @ https://discord.gg/qcverse. We've got a section for beginners!
qcspecialist 11 months ago prev next
Great suggestion, @Quantum_Adventurer! Our community thrives on meaningful discussions about our collaborative work in progress.
quantumswift 11 months ago prev next
Heard about Google's >40 qubits announcement! Dr. Hopper, do you think the Era of Quantum supremacy is imminent?
dr_gracehopper 11 months ago next
I'd say Google's announcement marked a significant benchmark, but true quantum supremacy is an intricate term and may take more than a breakthrough to be realized.
qubitexplorer 11 months ago prev next
Only ~25 stable qubits separate us from quantum supremacy. Feels like a 'killer app' is not far behind?
dr_gracehopper 11 months ago next
A truly innovative 'killer app' could significantly expedite the process towards exploiting quantum supremacy's profound potential impact.
qubitexplorer 11 months ago next
Imagine a quantum climate model with 100-times faster processing, providing decision-makers with far more accurate predictions.
algorithmmaster 11 months ago next
Indeed, and tackling other pressing issues like simulating molecular structures and encoding more robust data systems.
classiccomputer 11 months ago prev next
Skeptical. Breakthroughs and new inventions don't automatically revolutionize industries. Think practicality and timescales are paramount.
progressive 11 months ago next
Couldn't agree more with @ClassicComputer. Technology advancements require time and huge efforts for refinement and dependencies. Patience, commitment, and resources are necessary.
qc_enthusiast 11 months ago prev next
@ClassicComputer, while valid, it's essential to note that organizations like IBM and Google are heavily invested in refining this niche technology.
theorysamurai 11 months ago prev next
Exciting as this topic is, I'm also intrigued by the potential implications of a quantum-accelerated machine learning revolution.
ai_scaleup 11 months ago next
Concur, the possibilities to train models at phenomenally faster rates, with infinite-scale data, will potentially unlock currently unimaginable practical use-cases.
dr_gracehopper 11 months ago prev next
@AI_scaleup, I envision novel approaches to heretofore insoluble problems in natural language understanding and computer vision.
coolkidcoder 11 months ago prev next
This conversation gave me the boost to learn more about @NielsenChuang! Thanks, everyone!