Harnessing the problem-solving power of quantum computing

Microsoft Research · Beginner ·📐 ML Fundamentals ·4y ago
Quantum computers are not only set to revolutionize the way we think about computing, but they also hold the potential to change our understanding of the world. The ability to leverage unique quantum phenomena such as superposition and entanglement allows us to compute in ways that are simply impossible for a classical machine. This new way of computing could enable us to more accurately simulate highly correlated quantum systems, aiding us in material design and fertilizer production. It could also help us encrypt our data more securely, enhance our machine learning algorithms, and improve the way we approach optimization problems. In this webinar, Anita Ramanan, a Senior Quantum Software Engineer at Microsoft, will take you on a quantum journey, starting with a walk-through of potential applications and continuing with an explanation of what makes quantum computers so special. She’ll introduce the concept of the quantum bit, or qubit—the fundamental unit of quantum information—as well as the topological qubit, the novel implementation in development at Microsoft. She’ll also introduce Azure Quantum, which brings together all of the company’s quantum efforts, including hardware, cryo-control, the open-source Quantum Development Kit, and quantum-inspired optimization, which today can provide speedup using classical hardware and code by emulating certain quantum processes. Together, you’ll explore: ■ What quantum computers are and how they differ from their classical counterparts ■ What problems quantum computers might solve ■ How to build a quantum computer ■ How to write code for quantum computers, specifically what Grover’s search algorithm is and how to implement it in Q#, the quantum programming language created by Microsoft 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗹𝗶𝘀𝘁: ■ Azure Quantum - Quantum Service - https://azure.microsoft.com/en-us/services/quantum ■ Azure Quantum Documentation (docs) - https://docs.microsoft.com/en-us/azure/quantum ■ Microsoft Quantum overvi
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Microsoft Research · Microsoft Research · 0 of 60

← Previous Next →
1 Frontiers in ML: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
Frontiers in ML: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
Microsoft Research
2 Frontiers in Machine Learning: Climate Impact of Machine Learning
Frontiers in Machine Learning: Climate Impact of Machine Learning
Microsoft Research
3 Frontiers in Machine Learning: Security and Machine Learning
Frontiers in Machine Learning: Security and Machine Learning
Microsoft Research
4 Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Microsoft Research
5 Early Indicators of the Effect of the Global Shift to Remote Work on People with Disabilities
Early Indicators of the Effect of the Global Shift to Remote Work on People with Disabilities
Microsoft Research
6 Remote Work and Well-Being
Remote Work and Well-Being
Microsoft Research
7 Challenges and Gratitude of Software Developers During COVID-19 Working From Home
Challenges and Gratitude of Software Developers During COVID-19 Working From Home
Microsoft Research
8 Towards a Practical Virtual Office for Mobile Knowledge Workers
Towards a Practical Virtual Office for Mobile Knowledge Workers
Microsoft Research
9 Impact of COVID-19 crisis on the future of work in India
Impact of COVID-19 crisis on the future of work in India
Microsoft Research
10 Empowering and Supporting Remote Software Development Team Members through a Culture of Allyship
Empowering and Supporting Remote Software Development Team Members through a Culture of Allyship
Microsoft Research
11 How Work From Home Affects Collaboration: Information Workers in a Natural Experiment During COVID19
How Work From Home Affects Collaboration: Information Workers in a Natural Experiment During COVID19
Microsoft Research
12 Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
Microsoft Research
13 Managing Tasks Across the Work-Life Boundary: Opportunities, Challenges, and Directions
Managing Tasks Across the Work-Life Boundary: Opportunities, Challenges, and Directions
Microsoft Research
14 Microsoft Urban Futures Summer Workshop | Data Driven Urban Transformation [Day 1]
Microsoft Urban Futures Summer Workshop | Data Driven Urban Transformation [Day 1]
Microsoft Research
15 Microsoft Urban Futures Summer Workshop | Sensors and Data [Day 2]
Microsoft Urban Futures Summer Workshop | Sensors and Data [Day 2]
Microsoft Research
16 Microsoft Urban Futures Summer Workshop | Policy and Social Impact [Day 3]
Microsoft Urban Futures Summer Workshop | Policy and Social Impact [Day 3]
Microsoft Research
17 Directions in ML: Algorithmic foundations of neural architecture search
Directions in ML: Algorithmic foundations of neural architecture search
Microsoft Research
18 MineRL Competition 2020
MineRL Competition 2020
Microsoft Research
19 Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
Microsoft Research
20 From Paper to Product
From Paper to Product
Microsoft Research
21 SkinnerDB: Regret Bounded Query Evaluation using RL
SkinnerDB: Regret Bounded Query Evaluation using RL
Microsoft Research
22 From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Microsoft Research
23 Programming with Proofs for High-assurance Software
Programming with Proofs for High-assurance Software
Microsoft Research
24 Platform for Situated Intelligence Overview
Platform for Situated Intelligence Overview
Microsoft Research
25 Directional Sources & Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Directional Sources & Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Microsoft Research
26 Galactic Bell Star Music Demo
Galactic Bell Star Music Demo
Microsoft Research
27 Importing Animations in Microsoft Expressive Pixels (9 of 9)
Importing Animations in Microsoft Expressive Pixels (9 of 9)
Microsoft Research
28 Welcome to Microsoft Expressive Pixels (1 of 9)
Welcome to Microsoft Expressive Pixels (1 of 9)
Microsoft Research
29 Getting Started with Microsoft Expressive Pixels (2 of 9)
Getting Started with Microsoft Expressive Pixels (2 of 9)
Microsoft Research
30 Creating an Image in Microsoft Expressive Pixels (3 of 9)
Creating an Image in Microsoft Expressive Pixels (3 of 9)
Microsoft Research
31 Creating Animations in Microsoft Expressive Pixels (4 of 9)
Creating Animations in Microsoft Expressive Pixels (4 of 9)
Microsoft Research
32 Managing Animation Galleries in Microsoft Expressive Pixels (5 of 9)
Managing Animation Galleries in Microsoft Expressive Pixels (5 of 9)
Microsoft Research
33 Creating Fragments in Microsoft Expressive Pixels (6 of 9)
Creating Fragments in Microsoft Expressive Pixels (6 of 9)
Microsoft Research
34 Using Layers in Microsoft Expressive Pixels (7 of 9)
Using Layers in Microsoft Expressive Pixels (7 of 9)
Microsoft Research
35 Exporting Animations with Microsoft Expressive Pixels (8 of 9)
Exporting Animations with Microsoft Expressive Pixels (8 of 9)
Microsoft Research
36 What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
Microsoft Research
37 What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2)
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2)
Microsoft Research
38 Planeverb: Interactive sound propagation for dynamic scenes using 2D wave simulation
Planeverb: Interactive sound propagation for dynamic scenes using 2D wave simulation
Microsoft Research
39 Making cryptography accessible, efficient, and scalable with Dr. Divya Gupta and Dr. Rahul Sharma
Making cryptography accessible, efficient, and scalable with Dr. Divya Gupta and Dr. Rahul Sharma
Microsoft Research
40 Beyond the mega-data center: networking multi-data center regions (SIGCOMM 2020 Talk)
Beyond the mega-data center: networking multi-data center regions (SIGCOMM 2020 Talk)
Microsoft Research
41 Optics for the cloud – Light at the end of the tunnel? (SIGCOMM 2020 Workshop)
Optics for the cloud – Light at the end of the tunnel? (SIGCOMM 2020 Workshop)
Microsoft Research
42 Beyond the mega-data center: networking multi-data center regions (SIGCOMM 2020 short talk)
Beyond the mega-data center: networking multi-data center regions (SIGCOMM 2020 short talk)
Microsoft Research
43 Sirius: A Flat Datacenter Network with Nanosecond Optical Switching (SIGCOMM 2020 short talk)
Sirius: A Flat Datacenter Network with Nanosecond Optical Switching (SIGCOMM 2020 short talk)
Microsoft Research
44 Novel Image Captioning
Novel Image Captioning
Microsoft Research
45 Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays
Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays
Microsoft Research
46 Decoding Music Attention from “EEG headphones”: a User-friendly Auditory Brain-computer Interface
Decoding Music Attention from “EEG headphones”: a User-friendly Auditory Brain-computer Interface
Microsoft Research
47 How does holographic storage work?
How does holographic storage work?
Microsoft Research
48 The physics of hologram formation in iron doped lithium niobate
The physics of hologram formation in iron doped lithium niobate
Microsoft Research
49 Introduction to coax: A Modular RL Package
Introduction to coax: A Modular RL Package
Microsoft Research
50 Directions in ML: "Neural architecture search: Coming of age"
Directions in ML: "Neural architecture search: Coming of age"
Microsoft Research
51 Microsoft Research AI Breakthroughs 2020: 20 minute research talks + Q&A panel
Microsoft Research AI Breakthroughs 2020: 20 minute research talks + Q&A panel
Microsoft Research
52 Fireside Chat with Johannes Gehrke during Microsoft Research AI Breakthroughs 2020
Fireside Chat with Johannes Gehrke during Microsoft Research AI Breakthroughs 2020
Microsoft Research
53 Fireside Chat with Susan Dumais during Microsoft Research AI Breakthroughs 2020
Fireside Chat with Susan Dumais during Microsoft Research AI Breakthroughs 2020
Microsoft Research
54 Microsoft Research AI Breakthroughs 2020: 20 minute research talks, Q&A panel, and event wrap-up
Microsoft Research AI Breakthroughs 2020: 20 minute research talks, Q&A panel, and event wrap-up
Microsoft Research
55 Clinical Research with FHIR
Clinical Research with FHIR
Microsoft Research
56 Soundscape Street Preview
Soundscape Street Preview
Microsoft Research
57 Tilt-Responsive Techniques for Digital Drawing Boards
Tilt-Responsive Techniques for Digital Drawing Boards
Microsoft Research
58 SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time
SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time
Microsoft Research
59 Haptic PIVOT: On-Demand Handhelds in VR
Haptic PIVOT: On-Demand Handhelds in VR
Microsoft Research
60 SurfaceFleet Supplemental Video Demonstration (UIST 2020)
SurfaceFleet Supplemental Video Demonstration (UIST 2020)
Microsoft Research

Related AI Lessons

KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition
Learn how to improve IMU-based Human Activity Recognition using Kolmogorov-Arnold Networks (KANs) and MLP-Mixers, enhancing accuracy and efficiency in real-world datasets
ArXiv cs.AI
Interference-Aware Multi-Task Unlearning
Learn to remove designated training data from multi-task models without affecting other tasks
ArXiv cs.AI
Optimizing Cement Kiln Heat Consumption: A Process Engineer’s Python Approach
Optimize cement kiln heat consumption using Python and process engineering principles to reduce energy costs and improve efficiency
Dev.to · Aminuddin M Khan
Ferrari for Grocery Shopping?
Learn to identify misaligned model selection risks in AI projects and how to mitigate them, crucial for ensuring AI solutions meet business needs
Medium · LLM
Up next
Object Oriented Python
Coursera
Watch →