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My Nightly Deep Dive: From Black Holes and Hawking Radiation to Quantum Computers

A months-long bedtime physics habit turned into a real attempt to understand what a quantum computer actually is, why it's different, and whether it's worth the hype.

May 6, 2026 By Nitin Motgi 8 min read
My Nightly Deep Dive: From Black Holes and Hawking Radiation to Quantum Computers Curiosities May 6, 2026 8 min /curiosities/from-black-holes-to-quantum-computers/ For months I've been falling asleep to Brian Cox, Michio Kaku, Susskind, and the YouTube physics crowd. Black holes, Hawking radiation, the LHC, Planck time. Then a friend's startup pulled me into quantum computing — and the late-night curiosity became real homework.

Every single night for months, I've been drifting off to the voices of Brian Cox, Michio Kaku, Leonard Susskind, and a rotating cast of brilliant explainers on YouTube — Astrum, Arvin Ash, Astro Kobi, Cleo Abram. The topics? Black holes swallowing stars, Hawking radiation leaking information back out, bosons zipping through the LHC, Einstein's relativity bending spacetime, the arrow of causality, Planck time (that mind-bending 10⁻⁴³ seconds where quantum gravity might rule), and the wild idea that the universe might be a hologram.

It started as pure bedtime entertainment. Then a friend mentioned their startup is working on something quantum-adjacent — tech that could matter once these machines scale. Suddenly the late-night physics wasn't just fascinating; it felt urgent. I needed to understand what a quantum computer actually is, why it's different, and whether it's worth the hype or just another shiny distraction. This is the story of that journey — from confused listener to genuinely excited explorer.

01

The Spark: When Black Holes Meet Quantum Weirdness

Susskind — one of the fathers of string theory — kept coming up in discussions about the black hole information paradox. Hawking said black holes destroy information (breaking quantum rules). Susskind and others fought back, arguing information is preserved on the event horizon, maybe encoded like a hologram. That debate pulled in entanglement, qubits, and the idea that spacetime itself might emerge from quantum information.

Planck time, LHC collisions creating mini black holes in theory, bosons as force carriers — everything kept circling back to the quantum realm. Relativity and causality felt solid until you zoomed to the tiniest scales. That's when I realized: to really grok these cosmic mysteries, I probably needed to understand the machines built to harness quantum rules. Enter quantum computers.

02

What Even Is a Quantum Computer?

Forget the sci-fi. A normal computer — your phone, laptop, the supercomputers running the LHC simulations — uses bits. Each bit is a tiny switch: strictly 0 or 1, like a light bulb that's either off or on. It solves problems by flipping those switches in sequences or big parallel batches. Fast for most things. Hopelessly slow for others.

A quantum computer uses qubits. Here's the magic: thanks to superposition, a qubit can be 0 and 1 at the same time while it's working — think of a coin spinning in the air, heads and tails until it lands. Link multiple qubits with entanglement and they become spooky twins: change one and the other reacts instantly, even across the room or (in theory) the universe.

Suddenly you're not checking possibilities one by one. You're exploring exponentially many possibilities simultaneously. Measure at the end, and the universe's probability waves interfere so the right answer pops out louder. It's not faster at everything — just at problems that explode with complexity.

03

Classical vs. Quantum, Side by Side

Let's make it concrete with basic math.

A classical computer adding or subtracting big numbers — say 987,654,321 + 123,456,789, or finding optimal routes with thousands of distance calculations — does it digit by digit, carrying the 1 or borrowing like you learned in school. One path at a time. For a single sum? Blazing fast. For find the absolute best combination across millions of possible sums and subtractions — logistics, finance, molecular energies — it grinds through options or clever approximations. Reliable, predictable, but time and energy balloon when the search space gets huge.

A quantum computer doing the same loads the numbers (or route options) into superposition so countless additions and subtractions happen in parallel. Entanglement correlates them. Then interference cancels wrong answers and amplifies the best one. One run can surface the optimal result where a classical machine would need years.

For plain 2 + 2? Classical still wins on simplicity and stability. For real-world monsters like simulate every possible molecular interaction for a new drug or optimize a global supply chain with 10,000 variables? Quantum doesn't just win — it changes the game.

04

Shor's Algorithm: The One That Keeps Security Experts Up at Night

This is the algorithm that proved quantum computers aren't just theoretical toys. In 1994, Peter Shor showed how a quantum machine can factor huge numbers — break them into primes — exponentially faster than any classical method.

Why care? Modern encryption (RSA protecting your bank logins, emails, government secrets) relies on the fact that factoring a 300-digit number is practically impossible classically. It would take longer than the age of the universe. Shor's algorithm turns that into a feasible task on a large enough quantum computer by finding a hidden repeating pattern (the period) using quantum Fourier transforms, then finishing with easy classical math.

Unique because: it's one of the first clear demonstrations of quantum advantage on a problem with real-world stakes. It doesn't just speed things up — it breaks assumptions we built the digital world on. That's why "Q-Day" (when big quantum machines arrive) is driving a global race for post-quantum cryptography. Shor's isn't just clever math; it's a warning shot and a roadmap.

05

Is This Actually Valuable for Humanity?

Yes — when aimed at the right problems. Quantum computers won't replace your laptop. They'll partner with classical ones for the impossible bits:

  • Designing drugs and materials by simulating quantum chemistry exactly — faster cures, better batteries, carbon capture
  • Optimizing everything from traffic to energy grids to financial portfolios
  • Probing fundamental physics — maybe even simulating the quantum gravity near Planck time, or black hole interiors

Risks are real: security transitions, massive infrastructure needs, and access inequality. But the potential to accelerate solutions to climate, health, and energy challenges feels worth the careful steering. We're in the noisy NISQ era now (2026), with machines of dozens to hundreds of qubits improving monthly. Full fault-tolerant systems that can run Shor's on real encryption keys? Probably mid-2030s, but the curve is steepening fast.

06

Where I Am Now

Those nightly sessions on black holes, Hawking radiation leaking information, bosons at the LHC, relativity warping causality, and Planck-scale weirdness didn't just entertain me — they lit the path. Quantum computers are the tool built to speak the universe's native language at its smallest, weirdest scales. Susskind's string theory work and black hole insights suddenly feel connected to the qubits humming in labs today.

I started this because a friend's startup made it personal. I'm continuing because it makes the cosmos feel a little less mysterious and a lot more solvable. The universe runs on quantum rules. We're finally building machines that do too.

If you've ever nodded off to physics podcasts wondering "what does any of this mean for me?" — you're not alone. The journey from confused listener to someone who gets (at least basically) why qubits and Shor's matter has been one of the most rewarding rabbit holes I've fallen into.