best-deals.proDeals for the United States
Search
Product guide

Quantum Chemistry and Computing for the Curious, 2nd Edition

Quantum Chemistry and Computing for the Curious is a second-edition guide to quantum chemistry and computing using Python and Qiskit. Its coverage moves from core quantum and molecular concepts to VQE, noise-aware workflows, quantum machine learning, and newer chemistry algorithms.

At a glance

  • Introduces quantum mechanics, quantum information, and molecular Hamiltonians before practical implementations.
  • Covers VQE with Python and Qiskit workflows, including optimizer behavior and noise-aware simulations with error mitigation.
  • Adds quantum machine learning for molecular prediction and advanced approaches including QPE, QITE, quantum Lanczos, SQD, SKQD, and SqDRIFT.
  • The listing says introductory Python and high-school-level chemistry and algebra are helpful prerequisites.
Price
$33.74Save 25%

Reference price: $44.99

Price checked: Nov 14, 2026

View offerAhead of Black FridayExplore the selection

Pros and cons

Pros

  • Broad progression from quantum foundations to hands-on molecular algorithms supports readers building both chemistry and computing context.
  • The second edition includes material on noisy simulations and algorithms beyond VQE, rather than focusing on a single workflow.
  • The stated entry requirements are accessible to learners with introductory Python and high-school chemistry and algebra.

Technical specifications

9 specifications
Book details
PublisherPackt Publishing
Edition2nd
LanguageEnglish
Print length492 pages
Publication dateJuly 28, 2026
ISBN-13978-1807304676
ISBN-101807304671
Dimensions and installation
Weight listed1.85 pounds
Dimensions7.5 x 1.11 x 9.25 inches

Who is it for?

A good fit for

  • Chemistry or computer science learners beginning quantum computational chemistry.
  • Advanced high-school and college students with introductory Python and high-school-level chemistry and algebra.
  • Readers seeking practical Python and Qiskit examples across quantum chemistry algorithms.

Less suited to

  • Readers seeking a general, nontechnical introduction without programming or mathematical prerequisites.
  • Readers who need a narrowly focused reference on only one quantum chemistry algorithm.

Customer reviews on Amazon

5 / 5 · 5 ratings
  • 5 stars100%100%
  • 4 stars0%0%
  • 3 stars0%0%
  • 2 stars0%0%
  • 1 star0%0%

The supplied rating information is entirely five-star, but the sample is small and there are no written customer comments to explain the ratings. It offers little evidence about how readers find the book's explanations, code examples, or coverage in practice.

Frequently asked questions

What topics does the book cover?

The listing describes foundational quantum mechanics, quantum information, molecular Hamiltonians, VQE, noise-aware methods, quantum machine learning for molecules, and additional chemistry algorithms such as QPE and QITE.

What background does the listing recommend?

It says high-school-level chemistry, algebra, and introductory Python are helpful. The examples use Python and Qiskit.

Is this the second edition?

Yes. The product details identify it as the 2nd edition, with updated workflows and added chapters described in the listing.

Alternative options

Products with discounts that might interest you

4.7
Thomas Aquinas: Selected Commentaries on the New Testament
Thomas Aquinas: Selected Commentaries on the New Testament

$29.95

$25.39

-15%
-15%
Product details in Markdown