Quantum Information Processing

Top Research Topics at Quantum Information Processing?

The journal facilitates discussions on Quantum computer, Quantum mechanics, Quantum, Quantum entanglement and Qubit. Quantum algorithm, Quantum information, Statistical physics, Quantum state and Topology are some topics wherein Quantum computer research discussed in it have an impact. The studies in Quantum algorithm featured incorporate elements of Quantum operation and Quantum process.

Quantum Information Processing centers on topics in Quantum information, with a focus on Quantum network. The Quantum mechanics research presented places emphasis on topics like Quantum discord, Quantum error correction, Quantum channel, Quantum decoherence and Quantum teleportation. The Quantum error correction research presented in it explores the relationship between Quantum capacity and the closely related topic of Amplitude damping channel.

Some problems in Quantum that were presented in the journal overlapped with concepts under Discrete mathematics, Algorithm, Theoretical computer science and Protocol (object-oriented programming). It covers various topics on Quantum entanglement such as Squashed entanglement, Multipartite entanglement, W state, Quantum information science and Bell state. It investigates Qubit research which frequently intersects with State (functional analysis).

• Quantum computer (80.97%)
• Quantum mechanics (36.77%)
• Quantum (28.45%)

What are the most cited papers published in the journal?

• Quantum walks: a comprehensive review (643 citations)
• A flexible representation of quantum images for polynomial preparation, image compression, and processing operations (361 citations)
• An Example of the Difference Between Quantum and Classical Random Walks (319 citations)

Research areas of the most cited articles at Quantum Information Processing:

The most cited papers primarily tackle Quantum computer, Quantum mechanics, Qubit, Quantum and Quantum information. While Quantum computer is the focus of the most cited papers, it also provides insights into the studies of Quantum entanglement, Quantum algorithm, Quantum cryptography, Algorithm and Topology. The published papers hold forums on Qubit that merge themes from other disciplines such as Quantum state, Quantum information science and Quantum decoherence.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Quantum Information Processing (based on the number of publications) are:

• Shao-Ming Fei (60 papers) published 6 papers at the last edition, 10 less than at the previous edition,
• Tzonelih Hwang (42 papers) published 1 paper at the last edition,
• Liu Ye (39 papers) absent at the last edition,
• Xiu-Bo Chen (37 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Yu-Guang Yang (34 papers) published 3 papers at the last edition, 2 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Quantum Information Processing (based on the number of publications) are:

• Beijing University of Posts and Telecommunications (130 papers) published 14 papers at the last edition the same number as at the previous edition,
• Anhui University (103 papers) published 2 papers at the last edition, 4 less than at the previous edition,
• Chinese Academy of Sciences (77 papers) published 12 papers at the last edition, 2 less than at the previous edition,
• Max Planck Society (63 papers) published 4 papers at the last edition, 13 less than at the previous edition,
• University of Science and Technology of China (58 papers) published 8 papers at the last edition, 3 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.99% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.14% of all publications and 63.41% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Quantum Information Processing

For those considering a career in Quantum Information Processing, there are numerous career paths to consider. Experts in Quantum Information Processing usually work in areas like research, technology development, academia, data analysis, scientific modeling, consulting and more. They could pursue roles as Quantum Computing Engineers, Quantum Data Scientists, Quantum Software Developers, Quantum Researchers, and Professors, among others. Moreover, a career in this field can offer numerous fascinating challenges and lucrative rewards.

However, embarking on any career path requires careful planning and understanding of the field. Those interested in becoming educators can follow some definitive steps to accomplish their goal. If you are eyeing a career as a Quantum Information Processing professor, you might be wondering "how long does it take to become a teacher in Rhode Island". While the path to becoming a history teacher is a bit different from a career in Quantum Information Processing, it is important to note that pursuing a teaching career in any specialty generally requires a degree in your desired subject area, followed by teacher certification that complies with the state's education board. Additionally, educators aspiring to teach at the university level often pursue higher degrees and conduct impactful research, much like the ones discussed in this journal.

With the increasing influence of quantum computing and technology in our everyday lives and industries, the importance of skilled professionals in Quantum Information Processing continues to grow. Whether you aim to be a respected academic or a leading industry researcher, this field offers numerous paths to personal growth and professional fulfillment.