A funny thing happened on the way to quantum computing: Unlike other major shifts in classic computing before it, it begins -- not ends -- with The Cloud. That's because quantum computers today are more like "physics experiments in a can" that most companies can't use yet -- unless you use software, not just as cloud infrastructure for accessing this computing power commercially but for also building the killer app on top of it. What will that killer app be? With quantum virtual machines and special languages for connecting and trading off classic and quantum computing, companies and developers may be able to help figure that out, not to mention get ahead of this next computing platform (before it surprises them). Ok, sounds great. Only the old rules don't all apply: You have to fundamentally rethink algorithms for quantum computing, just as with previous waves of high-performance computing before it -- from CPU to GPU to TPU and now to QPU. Because as chips evolve, so do algorithms, and vice versa, in an iterative way. But the chicken-egg question of which came first (the algorithm or the specialized hardware for running it?) doesn't matter as much because the answer itself involves herding chickens: "You're trying to get all of these independent processes to run and cooperate with each other to produce an answer and do so in a way that was faster" than the other way before it, observes Jeff Cordova, interim head of software engineering at quantum computing startup Rigetti Computing. "In hindsight, we really care about the statistical model, not watching the entire movie", shares general partner Vijay Pande, based on his own experiences in the world of high-performance computing. In this episode of the a16z Podcast (in conversation with Sonal Chokshi), Cordova and Pande talk all about the realities of engineering -- and using -- the next computing platform beyond scientific research and hardening it into practical, commercial, industrial-scale reality. Luckily, the cloud provides a map to get us there, today.

What is lobbying, really? Is it “white", "heavy-set" men "playing golf" and making arrangements in "smoke-filled back rooms”? It's not like that anymore, according to two lobbyists who join this episode of the a16z Podcast to pull back the curtain on this practice… and share what’s changed: Heather Podesta, founder of Invariant (and a lawyer by training), and Michael Beckerman, President and CEO of the Internet Association (an industry trade association that also has lobbyists on staff). Given the tech industry’s increasing engagement with policy, how does lobbying play out for tech companies in particular? What are the challenges when going up against deeply entrenched incumbents, as all startups inevitably do? And finally, how has tech itself changed the act of lobbying? Thanks in part to the internet, we're now in a new era of transparency and public engagement, where "lobbying" has shifted more to more open citizen engagement vs. only inside closed rooms. We cover all this and more -- including practical tips for influencing government -- on this episode (in conversation with Hanne Tidnam), recorded as part of our annual D.C. podcast roadshow.