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Scientist

Rainer Weiss

1932– · gravitational physics, experimental physics
American experimental physicist, inventor of the laser interferometer for detecting gravitational waves. His ideas and persistence led to the creation of the LIGO project, which in 2015 first detected gravitational waves from merging black holes, confirming Einstein's prediction and opening a new era of observational astrophysics.

Biography

Born in Berlin, emigrated to the USA as a child due to Nazism. Studied at MIT, where he worked his entire career, rising from technician to professor. In the 1970s, he developed the concept of the laser interferometer, and spent decades securing funding for LIGO. Winner of the 2017 Nobel Prize (jointly with Barish and Thorne).

Key discoveries

💡 In his youth, he started as a technician at MIT without a science degree, but eventually became a leading physicist. His first proposals for LIGO were rejected, and it took 40 years of persistent work for the project to succeed.
"He said that curiosity and the desire to discover what the universe can show us have always driven him."
Concepts
gravitational wavesblack hole
Laws
Einstein field equations
Scientists
Henri PoincaréFritz ZwickyJacob BekensteinSubrahmanyan ChandrasekharStephen HawkingKarl SchwarzschildJoseph WeberKip Thorne

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Quantum Physics2014-07-292 minarXiv:1407.7620
How Measurement Gives Rise to Quantum Noise
In 1946, Felix Bloch predicted that even without an external magnetic field, a fluctuating magnetic moment exists in an ensemble of spins. It grows as the square root of the number of particles, and in small samples this noise can exceed thermal polarization.
R. Annabestani·D. G. Cory·J. Emerson
Rainer WeissJohn von NeumannClaude Shannonsqueezed stategene expression noisespin
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Atmospheric and Oceanic Physics2017-06-192 minarXiv:1706.06096
Climate as a Conversation: How to Hear Who Is in Charge
A translator who hears only the meaning, not the noise in the hall, can convey a conversation accurately. Climatologists have long sought such a translator for the ocean–atmosphere pair: their interaction resembles a dialogue where voices drown in the roar of extraneous sounds.
Giulio Tirabassi·Linda Sommerlade·Cristina Masoller
Rainer WeissKip ThorneBarry Barishtransformers
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Cryptography2019-03-042 minarXiv:1903.01590
Enso: The Blockchain That Learns to Store Logic as Data
Today's blockchain is like a music box: the melody (the rules of the game) is embedded in the mechanism, and to change it you have to take the whole thing apart. Every time developers want to change an application's logic, they have to perform a fork, splitting the network into two branches that then compete with each other.
Bruno França
Rainer WeissKip ThorneBarry Barishtransformers
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Dynamical Systems2019-12-063 minarXiv:1912.03170
Echoes in a Smaller Room: How to Hear the Signal in the Noise
In a large concert hall, sound bounces off the walls, and even if you stand in a corner, the echo can reveal the shape of the room. That is essentially the problem the authors tackle: how to recover a system's hidden rhythms from the 'echo' in data collected from only part of the system.
Mickaël Chekroun·Alexis Tantet·Henk Anton Dijkstra·J. David Neelin
Rainer Weisssqueezed state
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Geophysics2020-10-273 minarXiv:2010.14610
A neural network trained on 127,137 years of model climate predicts winter
A translator who learned a language from thousands of books can interpret a conversation without being distracted by noise in the hall. Similarly, a neural network trained on 127,137 years of model climate produces a winter forecast in a fraction of a second, faster and more accurately than bulky dynamical systems.
Baoxiang Pan·Gemma J. Anderson·AndrE Goncalves·Donald D. Lucas·CEline J. W. Bonfils·Jiwoo Lee
Johann Jakob BalmerHans BetheRainer Weissneural networksevidential neural networksLarge Language ModelsRecurrent Neural Networks
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Machine Learning2021-11-292 minarXiv:2111.14724
A Translator That Never Loses the Meaning
A long conversation between two people can be condensed into a few key phrases that preserve the essence. That is exactly how a macrovariable works: temperature stands in for billions of moving molecules, and sea level for thousands of waves.
Benedikt Höltgen
Rainer WeissKip ThorneBarry BarishtransformersLarge Language ModelsRecurrent Neural Networksneural networksFourier transform
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Atmospheric and Oceanic Physics2022-01-073 minarXiv:2201.02596
The Ocean Conducts the Rivers: How a Neural Network Heard the Whole Orchestra, Not Just the First Violin
The orchestra plays a symphony, and you listen only to the first violin. That is roughly how river discharge forecasts have worked for decades: the entire El Niño signal is reduced to a single number calculated from a small rectangle in the Pacific Ocean. Yet the ocean is a vast ensemble, where heat flows from one region to another, and its full score contains far more information than a single note.
Yumin Liu·Kate Duffy·Jennifer G. Dy·Auroop R. Ganguly
Johann Jakob BalmerHans BetheRainer Weissneural networks
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Applied Statistics2023-03-242 minarXiv:2303.16073
A Sieve for Nature: How IMPIT Indices Sift Important Episodes from Noisy Signals
A fisherman in Queensland notices that in some years snapper are harder to catch, even though the nets and boat are the same. The reason hides not in the catch itself but in the water temperature several months earlier, when the fry were just hatching. A warm current arrived not for the whole year but only for a few weeks, and that short episode decided the fate of an entire fish generation.
Manuela Mendiolar·Jerzy A. Filar·Wen-Hsi Yang·Susannah Leahy·Anthony Courtney
Johann Jakob BalmerHans BetheRainer Weissneural networksiron
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Atmospheric and Oceanic Physics2023-06-183 minarXiv:2306.10443
A Translator That Follows the Meaning: How a Neural Network Reads the Ocean Two Years Ahead
A translator who gets distracted by every rustle in the room turns a one-hour meeting into two. That is how old statistical El Niño models worked: they picked out individual numbers from ocean maps but missed how a warm patch off Peru connects to a cool tongue near Australia. The new neural network behaves differently: it follows not every word but the meaning of the paragraph.
Lingda Wang·Savana Ammons·Vera Mikyoung Hur·Ryan L. Sriver·Zhizhen Zhao
Johann Jakob BalmerHans BetheRainer Weissneural networks
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math.NA2024-02-232 minarXiv:2402.15184
Colored Noise: How to Hear Memory in Random Jolts
A translator in a conference room hears not only the words but also the echo of previous phrases still bouncing around the ceiling. If they get distracted by every reverberation, an hour of conversation turns into two. Similarly, a complex system, whether an ocean or a power grid, receives random jolts that do not vanish instantly but drag behind them a tail of memory.
Justin Lien·Yan-Ning Kuo·Hiroyasu Ando·Shoichiro Kido
Rainer WeissKip ThorneBarry BarishDiffusion ModelsLarge Language Modelsself-supervised learning
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Computer Vision2024-05-292 minarXiv:2405.18849
SFANet: a translator that hears both words and intonation
A translator at negotiations picks up not only the words but also the tone in which they are spoken. If they focus only on vocabulary, they might miss sarcasm or fatigue in the voice. If only on intonation, they could mistranslate the details of the contract.
Jiaze Wang·Hao Chen·Hongcan Xu·Jinpeng Li·Bowen Wang·Kun Shao·Furui Liu·Huaxi Chen·Guangyong Chen·Pheng-Ann Heng
Rainer WeissKip ThorneBarry BarishFourier transformtransformersRecurrent Neural NetworksLarge Language Models
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Atmospheric and Oceanic Physics2024-09-092 minarXiv:2409.05369
Neural Network Hears the Ocean's Whisper Three Months Before a Storm
Imagine an interpreter in a huge hall who hears not only the person next to them but also a whisper in the far corner, and from those fragments reconstructs the entire conversation. That's how the CAS-Canglong neural network works: it picks up connections between pressure, wind, and heat across the whole planet and uses them to predict what the ocean will look like three months from now.
Longhao Wang·Xuanze Zhang·L. Ruby Leung·Francis H. S. Chiew·Amir AghaKouchak·Kairan Ying·Yongqiang Zhang
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Machine Learning2024-10-262 minarXiv:2410.20072
The interpreter that learned chaos's dialect
An interpreter at a conference hears the noise of the hall but keeps translating. They don't repeat every word; instead, they find an intermediate language where complex phrases become simple, yet meaning is preserved.
Chuanqi Chen·Nan Chen·Yinling Zhang·Jin-Long Wu
Henri PoincaréJohn von NeumannClaude Shannonchaos theoryRecurrent Neural NetworksGenerative Adversarial Networksevidential neural networkstransformers
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Optics2024-11-293 minarXiv:2412.00271
A String That Never Goes Out of Tune: Higher Modes Hold Light in the Resonator
Tuning a string: higher harmonics help hold the pitch without drowning out the fundamental note. In an optical microcavity, a tiny resonator made of two mirrors, light bounces between the reflective surfaces, and any jitter in the spacing knocks it off resonance.
A. Shehata Abdelatief·A. J. Renders·M. Alqedra·J. J. Hansen·D. Hunger·L. Rippe·A. Walther
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Atmospheric and Oceanic Physics2025-04-082 minarXiv:2504.06007
A Digital Twin of the Atmosphere: How a Neural Network Speeds Up Climate Modeling by 350 Times
A translator at a high-stakes negotiation doesn't just render words quickly; they make sure the meaning doesn't get lost. CAMulator does the same: it takes the complex climate model CAM6 and translates it into the language of a neural network that runs hundreds of times faster, without losing the physical essence.
William E. Chapman·John S. Schreck·Yingkai Sha·David John Gagne·Dhamma Kimpara·Laure Zanna·Kirsten J. Mayer·Judith Berner
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Quantum Physics2025-05-013 minarXiv:2505.00475
Symphony of Imaginary Frequencies: Quantum Decay of the Inverted Well
At the hilltop of classical physics, a particle is frozen in unstable equilibrium. The slightest nudge — and it rolls down with increasing speed. In the quantum universe, no nudge is needed: the uncertainty principle itself acts as an all-pervading wind, blowing the particle off the peak.
Ni Liu·J. -Q. Liang
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Quantum Physics2025-05-022 minarXiv:2505.00950
Quantum Tuning Fork: Noise Speeds Up the Search for Single Emitters
Detecting a single quantum emitter is like tuning a piano on a factory floor full of screaming machines: the pure tone drowns in noise. But the tuner doesn’t try to outshout the racket — he picks up a tuning fork and listens for beatings. That’s how even a barely audible echo becomes clear.
Warwick P. Bowen
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Quantum Physics2025-05-034 minarXiv:2505.01942
Quantum Ghosts in the Hall of Mirrors
In quantum mechanics, some states defy intuition: their probability distributions dip into the negative, like mirages leaving only indirect clues.
Jack Clarke·Pascal Neveu·Ewold Verhagen·Michael R. Vanner
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HEP Phenomenology2025-05-062 minarXiv:2505.03258
IAFormer: Sparse Attention for Collision Analysis
At the Large Hadron Collider, millions of jets are born every second: streams of particles flying out from a single quark or gluon. Telling a jet from a top quark apart from a jet from an ordinary quark is a task on which the hunt for new physics depends.
W. Esmail·A. Hammad·M. Nojiri
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Quantum Physics2025-06-022 minarXiv:2506.02170
The Vacuum as Conductor: How Quantum Emptiness Rewrites the Properties of Matter
The hall is silent, but the conductor has already raised the baton. The orchestra is quiet, yet the score is changing. So it is in an optical resonator: there is no light, but the quantum vacuum—that emptiness filled with short-lived field fluctuations—is already conducting the…
Andrey Baydin·Hanyu Zhu·Motoaki Bamba·Kaden Hazzard·Junichiro Kono
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Materials2025-06-042 minarXiv:2506.09058
Diamond Grains Map Pressure Inside a Cell
Inside a diamond anvil cell, a device where two diamonds squeeze a sample to hundreds of gigapascals, pressure is distributed unevenly. Some regions are compressed more, others less. This affects experimental results: the material may behave differently than under perfectly uniform compression.
Ryotaro Suda·Kenshin Uriu·Kouki Yamamoto·Misaki Sasaki·Kento Sasaki·Mari Einaga·Katsuya Shimizu·Kensuke Kobayashi
Rainer Weisssqueezed state
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Machine Learning2025-07-112 minarXiv:2507.08738
How to Predict Chaos When Everything Is Noisy
Imagine a translator in a noisy hall, trying to catch a speech through the buzz of voices. The usual approach is to memorize a set of phrases and slot them into templates. But when the noise cranks up, the template falls apart.
Azimov Sherkhon·Susana Lopez-Moreno·Eric Dolores-Cuenca·Sieun Lee·Sangil Kim
Henri PoincaréRainer WeissKip Thornechaos theoryRecurrent Neural NetworksLarge Language Modelsself-supervised learning
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Quantum Physics2025-08-012 minarXiv:2508.00353
Invisible Photons from the Void: Quantum Optics in the Reversed Regime
In a superconducting circuit cooled to below 10 millikelvin, a mechanical oscillator vibrates at 5.33 megahertz. Usually in such systems, the mechanics outlives the light, but here the roles are reversed: the oscillator decays faster than the photons in the resonator.
H. Solki·Ali Motazedifard·M. H. Naderi·A. Youssefi·R. Roknizadeh
Rainer Weisssqueezed state
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General Relativity2025-08-033 minarXiv:2508.01803
Time Is Born from the Shape of the Universe
The clock on the kitchen wall ticks, and each tick relentlessly carries us from breakfast to lunch. This is so familiar that it seems like a law of nature, but physics says otherwise. In Einstein's equations, time is reversible: you can rewind the film, and no frame will give the trick away.
Andrea Palessandro
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High Energy2025-08-083 minarXiv:2508.06020
A Forge Missing Hammers: Where Does Europium in the Milky Way Come From?
In 2017, the LIGO and Virgo detectors caught gravitational waves from the merger of two neutron stars. A kilonova flared: a brilliant cosmic explosion thought to forge the heaviest elements in the periodic table. Gold in jewelry, platinum in catalysts, europium in smartphone screens: all of it, according to a beautiful legend, came to us from such catastrophes.
Muhammed Saleem·Hsin-Yu Chen·Daniel M. Siegel·Philippe Landry·Jocelyn S. Read·Kaile Wang
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HEP Experiment2025-09-093 minarXiv:2509.07386
The Thermal Noise of Emptiness: How to Catch Unruh Radiation in a Laser Beam
In 1976, Canadian physicist Bill Unruh asked a simple question: what does an observer see when accelerating through empty space? The answer turned out to be strange: emptiness ceases to be empty. An accelerating observer bathes in thermal radiation with a temperature proportional to the acceleration.
Rafi Hessami·Haidar Al-Naseri·Monika Yadav·Maanas Hemanth Oruganti·Brian Naranjo·James Rosenzweig
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Quantum Physics2025-09-152 minarXiv:2509.11854
The Ensemble's Whisper: How Diamond Spins Overcame Photon Noise
A crowd of thirty-one quantum sensors whispers within a diamond slab. Previously, this whisper was drowned out by the roar of floodlights: the random photon bursts used to read out the spin states masked the ensemble's own quantum noise. Now physicists have learned to switch off the floodlights and listen to the crowd itself.
Rouven Maier·Cheng-I Ho·Andrej Denisenko·Marina Davydova·Peter Knittel·Jörg Wrachtrup·Vadim Vorobyov
Rainer Weisssqueezed statequantum sensing
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HEP Phenomenology2025-09-193 minarXiv:2509.15912
A Ghost in the Atom: How Vacuum Hides a Pseudoscalar
In 1976, Gerard 't Hooft noticed that the vacuum of a gauge theory is not as simple as it seems: it possesses a topological structure that manifests itself in a nonzero topological susceptibility.
Giacomo Cacciapaglia·Francesco Sannino·Jessica Turner
Rainer Weisssqueezed statetopological insulator
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HEP Phenomenology2025-10-021 minarXiv:2510.02426express
AI Bridge Between Cosmos and Particles
For centuries, three branches of physics (cosmology, particle physics, and nuclear physics) worked like isolated shores.
S. D. Bakshi·P. Barry·C. Bissolotti·I. Cloet·S. Corrodi·Z. Djurcic·S. Habib·K. Heitmann·T. J. Hobbs·W. Hopkins·S. Joosten·B. Kriesten·N. Ramachandra·A. Wells·M. Zurek
Jocelyn Bell BurnellJoseph WeberRainer Weissmulti-messenger astronomyStandard Model
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Exoplanets2025-10-141 minarXiv:2510.12388express
Icy Wanderer Chiron Encircled by Rings and a Disk
Only by passing in front of a star did Chiron reveal its secret. Three icy hoops encircle the 200-kilometer body — a hybrid of comet and asteroid. Previously, they were only hinted at by spectra of reflected light and brightness fluctuations.
C. L. Pereira·F. Braga-Ribas·B. Sicardy·R. Leiva·M. Assafin·B. E. Morgado·J. L. Ortiz·P. Santos-Sanz·J. I. B. Camargo·G. Margoti·Y. Kilic·G. Benedetti-Rossi·R. Vieira-Martins·T. F. L. L. Pinheiro·R. Sfair·F. L. Rommel·A. R. Gomes-Júnior·R. C. Boufleur·R. Duffard·J. Desmars +37
Kip ThorneRainer WeissAlbert Einsteinneutron star mergertransit method
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Quantum Physics2025-10-221 minarXiv:2510.19969express
Only Quantum Gravity Can Entangle Masses
Two massive spheres in the cosmic void. Push one, and the second will feel the push only after a moment: gravitational influence travels, like an echo of a shout in the mountains, with inevitable delay. This is how curved space transmits signals locally, step by step — predicted by Einstein long ago.
Chiara Marletto·Vlatko Vedral
Einstein field equationsquadrupole radiation formulaAlbert EinsteinBernhard RiemannJoseph Weberquantum gravityspacetime curvaturegravityquantum entanglementquintessence
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Quantum Physics2025-10-281 minarXiv:2510.23996express
Whispering Chips: Quantum Sound for Hyper-Sensitive Gyroscopes
Sound waves on a chip usually spread in all directions, like whispers echoing around a dome. In a gyroscope, this creates noise that obscures rotation. But a new design forces sound into a one-way flow. By tapping the sound path at several points with precise timing, backward-traveling waves cancel out, while forward waves reinforce.
Y. T. Zhu·Shibei Xue·Fangfang Ju·Haidong Yuan
Rainer Weisssqueezed stateentropy
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Quantum Physics2025-12-041 minarXiv:2512.04637express
False vacuum in a ring of atoms
Emptiness isn't always empty: it can hide energy, like supercooled water hides ice. Physicists call this false vacuum — a state that only needs a nudge to cascade into the true one.
Yu-Xin Chao·Peiyun Ge·Zhen-Xing Hua·Chen Jia·Xiao Wang·Xinhui Liang·Zongpei Yue·Rong Lu·Meng Khoon Tey·Xiao Wang·Li You
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Quantum Physics2025-12-161 minarXiv:2512.14463express
Frozen Atoms: How Light Captures Shifts a Thousand Times Smaller Than an Atom
A chain of atoms on a light-guiding chip behaves like a row of pendulums on a shared support: swinging in opposite directions, they barely transfer energy to the air and freeze for a long time.
Xin Wang·Zeyang Liao
Rainer WeissErwin SchrödingerJohn Stewart Bellsqueezed statequantum statequantum simulatorspectroscopy
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Quantum Physics2025-12-161 minarXiv:2512.14842express
Noise Helps Quantum Computers
To quickly dissolve sugar, you don't need to stir carefully — just shake the glass. A similar principle works in quantum systems: noise, usually considered a disturbance, speeds up the transition to a thermal state.
Sameer Dambal·Yu Zhang·Eric R Bittner·Pavan Hosur
Rainer WeissDavid DeutschJohn Preskillsqueezed statequantum error correctionquantum algorithmquantum computerquantum measurement
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Quantum Physics2025-12-181 minarXiv:2512.17046express
Light Switched Faster Than Its Own Oscillations
Ordinary light always jitters a bit: its brightness and color fluctuate, like the air in a balloon after a tap. In 'squeezed' light, these fluctuations are redistributed — as if you squeeze the balloon from one side, making it thinner here and thicker there, but the total volume stays the same.
Russell Zimmerman·Shashank Kumar·Shiva Kant Tiwari·Eric Liu·Francis Walz·Siddhant Pandey·George J. Economou II·Hadiseh Alaeian·Chen-Ting Liao·Valentin Walther·Niranjan Shivaram
Rainer WeissAlain AspectAlbert Einsteinsqueezed statequantum opticsquantum sensingmodified gravityquantum measurement
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Optics2025-12-231 minarXiv:2512.20123express
Ghost Mode in a Sphere: Mathematics Without Physics
A metal sphere is a trap for light waves. Bouncing off the walls, they combine into frozen oscillations — like crests on a pond, frozen in time. For each such pattern (mode), Maxwell's equations prescribe a strict frequency.
Mustafa Bakr·Smain Amari
Rainer Weisssqueezed statespectroscopy
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Machine Learning2026-01-012 minarXiv:2601.00175express
Computer Predicts Cirrhosis Two Years Ahead
The liver is a quiet workhorse. It processes everything we eat and drink, and rarely complains out loud. By the time the first obvious symptoms of cirrhosis appear, the disease has already destroyed a significant portion of the organ. Doctors have long sought a way to see into the liver's future, and a new study offers an unexpected tool — ordinary hospital records.
Zhuqi Miao·Ahmed G Qasem·Sujan Ravi·Jason T. Cheng·Abdulaziz Ahmed·Courtney W. Houchen·Sumayah Abed·Dilorom Azimdjanovna Zuparova·Abdulaziz Ahmed
Karl JanskyAlbert EinsteinFritz Zwickydeep learning in medical imaging
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Soft Condensed Matter2026-01-012 minarXiv:2601.00313express
How a Sheet of Paper Decides to Wrinkle or Fold
A thin rubber film lies on a table. Someone grabs it by the middle and slowly pulls upward. The film doesn't just rise: it arches into a dome, then wrinkles run along the dome's edge, like pleats on a skirt. Pull higher — the wrinkles gather into large folds that cross the entire film. And if you start lowering it, the folds don't disappear but collapse into new shapes.
Keisuke Yoshida·Hirofumi Wada
Albert EinsteinAlan GuthVera Rubintopological defect
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Exoplanets2026-01-011 minarXiv:2601.00325express
Rogue Planet Gave Itself Away with Warped Light
The lone planet KMT-2024-BLG-0816, one of many free-floating planets, was discovered when its gravity acted like a magnifying glass for a few hours. Passing in front of a distant star, the invisible body warped space like a glass marble, and boosted the background light.
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Albert EinsteinRainer WeissBohdan Paczyńskimicrolensingfree-floating planetgravitational lensingexoplanet
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