Spring 2027

Quantum Algorithms and Error Correction

Covers the quantum computing stack from real-world applications to fault-tolerant components, focusing on quantum algorithms and advanced error correction.

offering recorded3 credits
Recorded instructors · Spring 2027 Matthew Otten

Summary

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Recent recorded grades — Spring 2026: 3.33 GPA, 66.7% A/AB (n=21 letter grades).

What you’ll be able to do

  • Summarize how to estimate quantum resources, starting from a high-utility application, through quantum algorithms, error correcting codes, and physical qubit parameters.

  • Discuss quantum algorithms for scientific applications, including quantum phase estimation, time-stepping schemes (Trotterization, qubitization), initial state preparation, and the HHL algorithm.

  • Describe advanced quantum error correction codes, their derivation, trade-offs between different codes, physical overheads, decoders, and threshold calculations.

  • Use and develop classical computational tools to study various aspects of quantum computers.

Source: UW Guide

Grade history

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average GPA
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Prerequisites

Course map

PHYSICS 709

PHYSICS 765

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2026: 3.33 GPA, 66.7% A/AB (n=21 letter grades).

Historical instructors & teaching patterns

MATTHEW OTTEN is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 460

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2026: 3.33 GPA, 66.7% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Quantum algorithms and advanced quantum error correction
  • Algorithms for scientific applications like quantum phase estimation and HHL
  • Full-stack quantum resource estimation using classical computational tools

Skills

  • Estimating full-stack quantum resources for novel algorithms
  • Analyzing quantum algorithms for scientific applications
  • Deriving and evaluating advanced quantum error correction codes
  • Using and developing classical computational tools for quantum computer studies

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F
More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
PHYSICS 765 · Spring 2027

Quantum Algorithms and Error Correction

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:754:027104",
    "course_id": "PHYSICS 765",
    "course_uid": "course_3e96644c491f85c6e1c3c0f9",
    "term_id": "1274",
    "source_course_id": "027104",
    "source_subject_id": "754",
    "title": "Quantum Algorithms and Error Correction",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "64acdd2f53a779a17e7b12704ff08aad56004b6917e9b1e677c2c0b4ffe040dd",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}